師資介紹 系統與控制組
  1. 師資介紹
  2. Professor
 
  1. 系統與控制組
 
  1. 莊家峰Chia-Feng Juang, IEEE Fellow
  2.  
        1. 職稱
        2. 特聘教授
        1. 學歷
        2. 國立交通大學控制工程博士
        1. 電話
        2. 886-4-22851549-806
        1. 電子信箱
        2. cfjuang@nchu.edu.tw
        1. 個人網頁
  3. 重要經歷
  4. 特聘教授-國立中興大學電機工程學系(2009/8~迄今)
    教授-國立中興大學電機工程學系(2007/2~2009/7)
    副教授-國立中興大學電機工程學系(2003/8~2007/1)
    助理教授-國立中興大學電機工程學系(2001/8~2003/7)
    助理教授-中州技術學院(1999/8~2001/7)
    資深工程師-矽統科技(1999/6~1999/8)
    少尉通信官-空軍水上機場防砲 (1997/7~1999/5)
    博士 - 國立交通大學控制工程系 (1994/9 -1997/6)
    碩士 - 國立交通大學控制工程系 (1993/9 -1994/8)
    學士 - 國立交通大學控制工程系 (1989/9 -1993/6)
  5.  
  6. 研究領域
  7. 計算智慧: 模糊系統、類神經網路與深度學習、進化計算
    人工智慧與機器學習
    智慧型控制
    影像處理與電腦視覺
    智慧型機器人
    AI輔助醫療
    FPGA晶片設計
  8.  
  9. 學術服務
  10. ** Editor/AE/Editorial Board Member of international journals
    — Associate Editor, IEEE Transactions on Cybernetics (SCI). (2016~)
    — Associate Editor, IEEE Transactions on Fuzzy Systems (SCI). (2013~2019, 2022~)
    — Area Editor, International Journal of Fuzzy Systems (SCI). (2016~)
    — Associate Editor, International Journal of Fuzzy Systems (SCI). (2013~)
    — Associate Editor, Asian Journal of Control (SCI). (2013~)
    — Editor, Journal of Information Science and Engineering (SCI). (2010~)
    — Editorial Board Member, Journal of Engineering, National Chung-Hsing University (2010 ~2015)

    — Guest Editor, Special Session “Fuzzy Control Systems: Analysis, Design and Applications” of IJFS. (2016)
    — Guest Editor, Special Section “Fuzzy Theory and Its Applications” of International Journal of Fuzzy Systems. (2015)
    — Guest Editor, Special Section of International Journal of Fuzzy Systems for iFUZZY 2013. (2014)
    — Guest Editor, Special Section of International Journal of Fuzzy Systems for iFUZZY 2012. (2013)

    **Invited Speeches in National/International Conferences/Workshops/Symposiums
    —Invited Lecture, IEEE CIS Flagship Summer School on Contemporary Advancement in Multiobjective Optimization, IEEE CIS Kolkata Chapter, India, Sep. 16-18, 2021.
    —Keynote Speaker, 3rd International Conference on Robotics and Computer Vision (ICRCV 2021), China, Aug. 27-29, 2021.
    —Plenary Speaker, 2nd International Conference on Control, Robotics and Intelligent System (CCRIS 2021), Qingdao, China, Aug. 20-21, 2021.
    —Plenary Speaker, International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2021), Guilin, China, July 23-25, 2021.
    —Invited Lecture, UCSD-NCHU/ENABLE/IDCSA/ Joint Symposium, Taiwan, Dec. 14, 2020.
    —Keynote Speaker, the 5th International Conference on Control and Robotics Engineering (ICCRE 2020), Osaka, Japan, April 24-26, 2020.
    —Keynote Speaker, International Conference on Intelligent Autonomous Systems (ICoIAS’2020), Singapore, Feb. 26-29, 2020.
    —Plenary Speaker, International Conference on Fuzzy Theory and Its Applications (iFUZZY 2019), Taiwan, Nov. 7-10, 2019.
    —Invited Lecture and Panel Discussion Panelist, Theme: How to be an Outstanding Research Fellow, IEEE International Conference On Consumer Electronics –Taiwan, May, 2019.
    —Invited Lecture, 2018 IEEE CIS Summer School on Computational Intelligence for Human and Machine Co-learning, Taiwan, Aug. 21-24, 2018.
    —Invited Lecture, Interdisciplinary Workshop on Sleep & Quarter Meeting on Sleep in Midland, Dec. 2017. (Organized by Taichung Veterans General Hospital, Taiwan)
    Speech Title: Introduction of AI and its Application to Medical Diagnosis Aided System
    —Invited Lecture, Young Professionals International Workshop: how to become an outstanding researcher, Taiwan, Nov. 9, 2016. (Hosted by Chinese Automatic Control Society.
    —Keynote Speaker, The 7th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, Dec. 13th – Dec. 14th, 2014.
    —Keynote Speaker, International Conference on Computational Advancement in Communication Circuits and Systems, Kolkata, India, Oct. 30th – Nov, 1st, 2014.
    —Invited Lecture, International Workshop on Advances in Nonlinear Dynamical Systems and Robotics, Taiwan, June 17, 2014. (Hosted by IEEE Control Systems Society, Taipei Chapter)
    —Invited Lecture, International Workshop on Systems and Controls, Nanzan University, Seto, Japan, Sep. 13, 2013.


    ** Chair/Co-chair of International Conferences:
    — General Co-Chair, International Conference on System Science and Engineering (ICSSE 2022)
    — General Chair, 2020 International Automatic Control Conference (CACS 2020)
    — General Co-Chair, 2020 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2020).
    — Track Chair, The 15th IEEE Conf. Industrial Electronics and Applications (ICIEA 2020)
    — Program Chair, The 11th Int. Conf. Advanced Computational Intelligence (ICACI 2019)
    — Best Papers Award Chair, 2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2019).
    — Program Co-Chair, International Conference on Advanced Robotics and Intelligent Systems (ARIS 2019)
    — Track Chair, The 14th IEEE Conf. Industrial Electronics and Applications (ICIEA 2019)
    — Track Chair, The 13th IEEE Conf. Industrial Electronics and Applications (ICIEA 2018)
    — Publicity Chair, 25th Int. Conf. on Neural Information Processing (ICONIP 2018)
    — Program Co-Chair, International Conference on Advanced Robotics and Intelligent Systems (ARIS 2018)
    — Special Session Chair, 2017 International Conference on Awareness Science and Technology (iCAST 2017).
    — Associate Editor, Asian Control Conference (ASCC 2017).
    — Best Papers Award Chair, 2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2017).
    — General Chair, 2017 International conference on Advanced Robotics and Intelligent Systems (ARIS 2017), Taiwan, 2017
    — Track Chair, The 12th IEEE Conf. Industrial Electronics and Applications (ICIEA 2017)
    — Best Papers Award Chair, 2016 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2016).
    — Young Professionals Program Co-Chair & Registration Co-Chair, IEEE Int. Conf. Systems & Man, and Cybernetics, Hungary, 2016.
    — Invited Session Chair, 2016 Int. Conf. on Advanced Robotics and Intelligent Systems (ARIS 2016)
    — Track Chair, The 11th IEEE Conf. Industrial Electronics and Applications (ICIEA 2016)
    — Best Papers Award Chair, 2015 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2015)
    — Track Chair, The 10th IEEE Conf. Industrial Electronics and Applications (ICIEA 2015)
    — Registration Co-Chair, IEEE International Conference on Systems, Man, and Cybernetics, USA, 2014.
    — Invited Section Chair, The 11th IEEE International Conference on Control and Automation (IEEE ICCA 2014)
    — Track Chair, The 9th IEEE Conf. Industrial Electronics and Applications (ICIEA 2014)
    — Program Co-Chair, 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2013)
    — Track Chair, The 8th IEEE Conf. Industrial Electronics and Applications (ICIEA 2013)
    — Program Chair, 2012 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2012)
    — Track Chair, The 7th IEEE Conf. Industrial Electronics and Applications (ICIEA 2012)
    — Program Co-Chair, 2011 Int. Conf. on Service and Interactive Robotics (SIRCon 2011).
    — Publication Chair, IEEE Int. Conf. Fuzzy Systems (FUZZ-IEEE 2011)
    — Track Chair, The 6th IEEE Conf. Industrial Electronics and Applications (ICIEA 2011)
    — Registration Co-Chair, SICE 2010 Annual Conference (SICE 2010)
    — Program Co-Chair, The 5th IEEE Conf. Industrial Electronics and Applications (ICIEA 2010)
    — Program Co-Chair, CACS International Automatic Control Conference (2007)
    — Finance Chair, The 8th International Conference on Automation Technology (2005)

    ** Chair/Co-chair of Domestic Conferences:
    - General Chair, Workshop on Control Engineering Program, MOST (2020)
    - General Co-Chair, The 28th National Conf. On Fuzzy Theory and Its Applications (2020)
    - Best Papers Award Chair, The 27th National Conf. On Fuzzy Theory and Its Applications (2019)
    - Best Papers Award Chair, The 26th National Conf. On Fuzzy Theory and Its Applications (2018)
    - Program Co-Chair, National Conference on Advanced Robotics (NCAR 2018)
    - General Chair, National Conference on Advanced Robotics (NCAR 2017)
    - Program Track Chair, Automation 2016, Taichung, Taiwan,2016.
    - Invited Session Chair, 2016 National Conference on Advanced Robotics (NCAR 2016)
    - Best Papers Award Chair, The 24th National Conf. On Fuzzy Theory and Its Applications (2016)
    - Best Papers Award Chair, The 23rd National Conf. On Fuzzy Theory and Its Applications (2015)
    - Program Co-chair, The 21st National Conf. On Fuzzy Theory and Its Applications (2013)
    - Program Chair, the 20th National Conf. On Fuzzy Theory and Its Applications (2012)
    - General Co-Chair, Workshop on Control Engineering Program, National Science Council (2007)

    ** Other Academic Service:
    - Program Evaluator, Institute of Engineering Education, Taiwan (IEET) (2019~)
    - Member of General Project Review Board, Control Engineering Program, Ministry of Science and Engineering (MOST), Taiwan(2018-2020)
    - Invited member of IEEE Computational Intelligence Society, Task Force on Evolutionary Computer Vision and Image (2018~)
    - Chair, IEEE Computational Intelligence Society, Taipei Chapter (2017-2018)
    - Director, Taiwan Association of Systems Science and Engineering (2021~)
    - Director, Chinese Automatic Control Society (2016~)
    - Director, Taiwan Fuzzy Systems Association (2012~)
    - Member of Project Review Board, Control Engineering Program, National Science Council (NSC), Taiwan(2008-2010, 2012~2014)
    - Member of International Cooperation Committee, Taiwan Robotics Industry Developing Association (ROBOAT) (2010-2012)
    - Invited founding member of IEEE Systems, Man, and Cybernetics (SMC) Society, Technical Committee (TC) "Awareness Computing" (2009~)
    - Invited founding member of IEEE SMC Society, TC "Intelligent Learning in Control Systems"(2008~)
    - IEEE Senior member (2008~)
    - Invited member of IEEE SMC, TC "Soft Computing"
    - IEEE Control Systems Society, Taipei Chapter, Treasurer (2002~2004)
    - General Executives, Taiwan Fuzzy Systems Association (2002~2003)
  11.  
  12. 榮譽獎勵
  13. — 發表期刊論文已被引用超過5600次, Web of Science (WOS) Core Collection.
    — 多篇高引用論文(Highly Cited Papers, Top 1%), Essential Science Indicators.
    . . (WOS Core Collection 被引用600次以上: 2 篇,300-399次: 1 篇,200-299次: 2 篇,100-199次: 6 篇)
    — 中華民國模糊學會「會士」(TFSA Fellow) (2022年)
    — 科技部工程司110年度產學合作計畫成果發表暨績效考評會「海報組優良獎」(2021年)
    — 科技部工程司控制學門109年度成果發表暨績效考評會「成果海報特優獎」(2021年)。
    — 中華民國自動控制學會「卓越服務貢獻獎」(2021年)
    — Fellow of AAIA (Asia-Pacific Artificial Intelligence Association) (2021)
    — 台中榮總109年度院校合作計畫成果發表會論文競賽,「特優論文獎」 (2021)。
    — 台中榮總與中區各大學109度合作研究計畫聯合成果發表會「壁報報告優等獎」(2021)
    — 科技部「傑出研究獎」(2021)
    — Distinguished Lecturer, IEEE Computational Intelligence Society (2020-2022)
    — Distinguished Lecturer, IEEE Systems, Man, and Cybernetics Society (2020-2021)
    — 台中榮總與中區各大學108年度合作研究計畫聯合成果發表會「壁報報告優等獎」(2020)
    — 中國電機工程學會「傑出電機工程教授獎」(2019)
    — 中興大學「興大之光」(2019)
    — Fellow of IEEE (The Institute of Electrical and Electronics Engineers) (2019)
    — Outstanding Chapter Award from IEEE Taipei Section (Served as Chapter Chair of IEEE Computational Intelligence Society) (2019年)
    — Best Paper Award, 2018 Conf. on Applications of Innovation & Invention (AII 2018)(2018年)
    — 科技部工程司控制學門106年度成果發表暨績效考評會「成果簡報優良獎」(2018年)。
    — 台中榮民總醫院之院校研究計畫成果發表會,「優秀論文」獎 (2018年)。
    — 中華民國自動控制學會「會士」(2016年)
    — 科技部工程司控制學門102年度成果發表會「成果海報展示」特優獎(2014年)。
    — 中華民國自動控制學會「傑出自動控制工程獎」 (2014年)
    — 中華民國模糊學會第一屆「傑出青年獎」(2014年)(單一獲獎人)。
    — 中興大學102年度「研究績優獎」 (2014年) (全校共10位)
    — Fellow of IET (Institution of Engineering and Technology) (2014)
    — 湯森路透 (Thomson Reuters) 高被引論文作者專訪 (2012年)
    — 中興大學99年度「研究績優獎」 (2011年) (全校共10位)
    — 中興大學98年度「研究績優獎」 (2010年) (全校共10位)
    — 榮獲國科會第107期「工程科技通訊」之「人物春秋」單元專訪與專文介紹 (2010年8月)
    — 中華民國系統學會第一屆「傑出青年獎」(2010年) (單一獲獎人)
    — 中興大學「特聘教授」 (2009年)
    — 中興大學教師評鑑,工學院「研究表現特優」教師 (2008年)
    — 中興大學「傑出青年教師獎」 (2007年)
    — 中興大學工學院第一屆「績優教師獎」 (2006年)
    — 中興大學94年度建教合作「成長之星獎」 (2006年)
    — 中華民國自動控制學會第四屆「青年自動控制工程獎」(2006年) (單一獲獎人)


    **指導學生
    — 指導大學部專題生謝元碩、李盈臻榮獲2022年「中華民國系統科學與工程研討會」最佳學生論文競賽第三名(2022年)
    — 指導碩士班學生潘冠人榮獲2021年「中華民國模糊學會」最佳碩士論文獎第一名(2021年)
    — 指導碩士班學生何秉叡榮獲2020年「中華民國模糊學會」最佳碩士論文獎(唯一獲獎者)(2020年)
    — 指導碩士班學生薛頌恆榮獲2020年「中華民國自動控制學會碩士論文獎」佳作獎 (2020年)
    — 指導碩士生洪子賢、王浩權參加TIRT全能機器人國際邀請賽、軟銀機器人盃NAO機器人競速賽,榮獲第一名 (2019年)
    — 指導碩士生洪子賢、王浩權參加TIRT全能機器人國際邀請賽、軟銀機器人盃NAO機器人創意賽,榮獲第一名 (2019年)
    — 指導碩士生薛頌恆、林懷安參加科技部新竹科學工業園區管理局主辦之「AIOT x 動作感測」創意應用自造松競賽,榮獲第二名 (2019年)
    — 指導碩士班學生郭時寧榮獲2019年「中華民國模糊學會」最佳碩士論文獎(2019年)
    — 指導碩士班學生呂家豪榮獲2019年「台灣機器人學會碩士論文獎」佳作獎(2019年)
    — 指導碩士生薛頌恆作品「艾莉塔-六軸機器手臂」參加經濟部工業局主辦之「三D列印主題創作競賽」,榮獲評審團特別獎 (292隊頒發2隊)暨「物聯應用組」優等(58隊第2-4名)。作品受邀於南港展覽館「台灣國際3D列印展」中展示。(2019年)
    — 指導學生作品「智能可拆濾網式空氣清淨機」參加經濟部工業局主辦之三D列印主題創作競賽,榮獲「物聯運用組」優等(58隊第2-4名)。作品受邀於南港展覽館「台灣國際3D列印展」公開展示。(2019年)
    — 指導學生作品「機車導航抬頭顯示器」參加經濟部工業局主辦之三D列印主題創作競賽,榮獲「物聯應用組」佳作(58隊第5-9名)。 (2019年)
    — 指導學生作品「蛋造型調味瓶」參加經濟部工業局主辦之三D列印主題創作競賽,榮獲「品味造型組」佳作(89隊第5-9名)。 (2019年)
    — 指導碩士班學生倪偉恩榮獲2018年「中華民國模糊學會碩士論文獎」佳作獎 (2018年)
    — 指導碩士班學生周勍宇榮獲2018年「台灣機器人學會碩士論文獎」優等獎(2018年)
    — 指導碩士班學生張家偉榮獲2017年「中華民國模糊學會」最佳碩士論文獎(2017年)
    — 指導碩士班學生林展宏榮獲2015年「中華民國模糊學會碩士論文獎」優等獎(2015年)
    — 指導碩士班學生詹曜華榮獲2014年「中華民國模糊學會碩士論文獎」優等獎(2014年)
    — 指導大學部學生榮獲2014年中興大學工學院「專題研究成果競賽」特優獎 (2014年)
    — 指導博士班學生許嘉宏榮獲2013年「中華民國模糊學會博士論文獎」優勝獎(2013年)
    — 指導博士班學生鄭惟元榮獲2013年「中華民國模糊學會博士論文獎」佳作獎 (2013年)
    — 指導碩士班學生莊凱傑榮獲2012年「中華民國模糊學會碩士論文獎」佳作獎 (2012年)
    — 指導碩士班學生江鴻璋榮獲2012年系統科學與工程研討會「學生論文競賽佳作獎」(2012年)
    — 指導碩士班學生陳奇佑榮獲2011年「中華民國模糊學會碩士論文獎」佳作獎 (2011年)
    — 指導碩士班學生杜偉勤榮獲2011年「中華民國民生電子學會」100年度碩士論文獎(2011年)
    — 指導碩士班學生張育誠榮獲2010年「中華民國模糊學會碩士論文獎」第一名 (2010年)
    — 指導碩士班學生黃仁伯榮獲2009年「中華民國模糊學會碩士論文獎」第一名 (2009年)
    — 共同指導之博士班學生榮獲2002年中華民國第十屆模糊理論及其應用會議「學生論文競賽第一名」(2002年)
  14.  
  15. 著作目錄
    1. A.期刊論文
      1. 1.
      2. C. F. Juang*, C. H. Lu, and C. A. Huang, “Navigation of three cooperative object-transportation robots using a multistage evolutionary fuzzy control approach,” IEEE Trans. Cybernetics, vol.52, no.5, pp.3606-3619, May 2022. (SCI、EI)
      1. 2.
      2. W. C. Su, C. F. Juang*, and C. M. Hsu, “Multiobjective evolutionary interpretable type-2 fuzzy systems with structure and parameter learning for hexapod robot control,” IEEE Trans. Systems, Man, and Cyber.- Systems , vol.52, no.5, pp.3066-3078, May 2022. (SCI、EI)
      1. 3.
      2. C. F. Juang and W. E. Ni, “Human posture classification using interpretable 3D fuzzy body voxel features and hierarchical fuzzy classifiers,” IEEE Trans. Fuzzy Systems, in Press, May 2022. (SCI、EI)
      1. 5.
      2. C. F. Juang*, C. W. Chang, and T. H. Hung, “Hand palm tracking in monocular images by fuzzy rule-based fusion of explainable fuzzy features with robot imitation application,” IEEE Trans. Fuzzy Systems, vol.29, no.12, pp.3594-3606, December 2021. (SCI、EI)
      1. 6.
      2. C. F. Juang, C. Y. Wen, K. M. Chang, Y. H. Chen, C. Y. Lin, Y. C. Chen, M. F. Wu, and W. C. Huang*, “Explainable fuzzy neural network with easy-to-obtain physiological features for screening obstructive sleep apnea-hypopnea syndrome,” Sleep Medicine, vol.85, pp.280-290, September 2021. (SCI、EI)
      1. 7.
      2. Y. C. Lo, I. F. Chung, S. N. Guo, M. C. Wen, and C. F. Juang*, “Cycle-Consistent GAN-based stain translation of renal pathology images with glomerulus detection application,” Applied Soft Computing, vol.98, article 106581, pp.1-13, January 2021. (SCI、EI)
      1. 8.
      2. C. F. Juang*, C. Y. Chou, and C. T. Lin, “Navigation of a fuzzy-controlled wheeled robot through the combination of expert knowledge and data-driven multiobjective evolutionary learning,” IEEE Trans. Cybernetics, in press, November 2020. (SCI、EI)
      1. 9.
      2. J. Chen*, H. Zhang, F. Tao, and C. F. Juang, “DT-II: Digital twin enhanced industrial internet reference framework towards smart manufacturing,” Robotics and Computer-Integrated Manufacturing, vol.62, no.Article 101881, pp.1-14, April 2020. (SCI、EI)
      1. 10.
      2. C. F. Juang* and T. B. Bui, “Reinforcement neural fuzzy surrogate-assisted multiobjective evolutionary fuzzy systems with robot learning control application,” IEEE Trans. Fuzzy Systems, vol.28, no.3, pp.434-446, March 2020. (SCI、EI)
      1. 11.
      2. C. F. Juang*, C. H. Lin, and T. B. Bui, “Multiobjective rule-based cooperative continuous ant colony optimized fuzzy systems with a robot control application,” IEEE Trans. Cyber., vol.50, no.2, pp.650-663, February 2020. (SCI、EI)
      1. 12.
      2. J. Cheng, C. F. Juang*, G. Mei, and W. Chen, “Design improvement for blackbody cavity sensor for continuous measurement of molten steel temperature,” IEEE Access, vol.7, pp.184909-184922, December 2019. (SCI、EI)
      1. 13.
      2. C. F. Juang*, Y. H. Jhan, Y. M. Chen, and C. M. Hsu, “Evolutionary wall-following hexapod robot using advanced multi-objective continuous ant colony optimized fuzzy controller,” IEEE Trans. Cognitive and Developmental Systems, vol.10, no.3, pp.585-594 , September 2018. (SCI、EI)
      1. 14.
      2. C. F. Juang* and Y. T. Yeh, “Multiobjective evolution of biped robot gaits using advanced continuous ant-colony optimized recurrent neural networks,” IEEE Trans. Cybernetics, vol.48, no.7, pp.1910-1922, June 2018. (SCI、EI)
      1. 15.
      2. C. Y. Chou and C. F. Juang*, “Navigation of an autonomous wheeled robot in unknown environments based on evolutionary fuzzy control,” Inventions, vol.3, no.1:3, pp.1-14, March 2018.
      1. 16.
      2. M. F. Wu, W. C. Huang, C. F. Juang*, K. M. Chang, C. Y. Wen, Y. H. Chen, C. Y. Lin, Y. C. Chen, and C. C. Lin, “A new method for self-estimation of the severity of obstructive sleep apnea using easily available measurements and neural fuzzy evaluation system,” IEEE Journal of Biomedical and Health Informatics, vol.21, no.6, pp.1524-1532, November 2017. (SCI、EI)
      1. 17.
      2. C. F. Juang* and K. J. Juang, “Circuit implementation of a TSK-type interval type-2 neural fuzzy system with on-chip parameter tuning ability,” IEEE Trans. Industrial Electronics, vol.64, no.5, pp.4266-4275, May 2017. (SCI、EI)
      1. 18.
      2. C. F. Juang*, T. L. Jeng, and Y. C. Chang, “An interpretable fuzzy system learned through online rule generation and multi-objective ACO with a mobile robot control application,” IEEE Trans. Cyber., vol.46, no.12, pp.2706-2718, December 2016. (SCI、EI)
      1. 19.
      2. C. F. Juang, G. C. Chen, C. W. Liang, and D. Lee, “Stereo-camera-based object detection using fuzzy color histograms and a fuzzy classifier with depth and shape estimations,” Applied Soft Computing, vol.46, pp.753-766, September 2016. (SCI、EI)
      1. 20.
      2. C. W. Liang and C. F. Juang*, “Moving object classification using a combination of static appearance features and spatial and temporal entropies of optical flows,” IEEE Trans. Intelligent Transportation Systems, vol.16, no.6, pp.3453-3464, December 2015. (SCI、EI)
      1. 21.
      2. C. F. Juang* and P. H. Wang, “An interval type-2 neural fuzzy classifier learned through soft margin minimization and its human posture classification application,” IEEE Trans. Fuzzy Systems, vol.23, no.5, pp.1474-1487, October 2015. (SCI、EI)
      1. 22.
      2. C. F. Juang*, M. G. Lai, and W. T. Zeng, “Evolutionary fuzzy control and navigation for two wheeled robots cooperatively carrying an object in unknown environments,” IEEE Trans. Cybernetics, vol.45, no.9, pp.1731-1743, September 2015. (SCI、EI)
      1. 23.
      2. C. F. Juang*, W. Y. Cheng, and C. W. Liang, “Speedup of learning in interval type-2 neural fuzzy systems through graphic processing units,” IEEE Trans. Fuzzy Systems, vol.23, no.4, pp.1286-1298, August 2015. (SCI、EI)
      1. 24.
      2. C. W. Liang and C. F. Juang*, “Moving object classification using local shape and HOG features in wavelet-transformed space with hierarchical SVM classifiers,” Applied Soft Computing, vol.28, pp.483-497, March 2015. (SCI、EI)
      1. 25.
      2. C. F. Juang*, Y. H. Chen, and Y. H. Jhan, “Wall-following control of a hexapod robot using a data-driven fuzzy controller learned through differential evolution,” IEEE Trans. Industrial Electronics , vol.62, no.1, pp. 611-619, January 2015. (SCI、EI)
      1. 26.
      2. C. F. Juang*, C. W. Hung, and C. H. Hsu, “Rule-based cooperative continuous ant colony optimization to improve the accuracy of fuzzy system design,” IEEE Trans. Fuzzy Systems, vol.22, no.4, pp.723-735, August 2014. (SCI、EI)
      1. 27.
      2. C. F. Juang* and, W. C. Du, and T. C. Chen,, “Human body 3D posture estimation using significant points and two cameras,” Scientific World Journal, vol.2014, Article ID 670953, pp.1-17, May 2014. (SCI、EI)
      1. 28.
      2. C. F. Juang* and W. S. Jang, “A type-2 neural fuzzy system learned through type-1 fuzzy rules and its FPGA-based hardware implementation,” Applied Soft Computing, vol.18, pp.302-313, May 2014. (SCI、EI)
      1. 29.
      2. W. Y. Cheng and C. F. Juang*, “A fuzzy model with online incremental SVM and margin-selective gradient descent learning for classification problems,” IEEE Trans. Fuzzy Systems, vol.22, no.2, pp.324-337, April 2014. (SCI、EI)
      1. 30.
      2. G. C. Chen and C. F. Juang*, “An accuracy-oriented self-splitting fuzzy classifier with support vector learning in high-order expanded consequent space,” Applied Soft Computing, vol.15, pp.231-242, February 2014. (SCI、EI)
      1. 31.
      2. C. F. Juang* and C. Y. Chen, “An interval type-2 neural fuzzy chip with on-chip incremental learning ability for time-varying data sequence prediction and system control,” IEEE Trans. Neural Networks and Learning Systems, vol. 25, no.1, pp.216-228, January 2014. (SCI、EI)
      1. 32.
      2. C. F. Juang* and C. Y. Chen, “Data-driven interval type-2 neural fuzzy system with high learning accuracy and improved model interpretability,” IEEE Trans. Cybernetics, vol.43, no.6, pp.1781-1795, December 2013. (SCI、EI)
      1. 34.
      2. C. F. Juang* and K. J. Juang, “Reduced interval type-2 neural fuzzy system using weighted bound-set boundary operation for computation speedup and chip implementation,” IEEE Trans. Fuzzy Systems, vol.21, no.3, pp. 477-491, June 2013. (SCI、EI)
      1. 35.
      2. C. H. Hsu and C. F. Juang*, “Evolutionary robot wall-following control using type-2 fuzzy controller with species-DE activated continuous ACO,” IEEE Trans. Fuzzy Systems, vol.21, no.1, pp.100-112, February 2013. (SCI、EI)
      1. 36.
      2. C. F. Lu, C. H. Hsu, and C. F. Juang*, “Coordinated control of flexible AC transmission system devices using an evolutionary fuzzy lead-lag controller with advanced continuous ant colony optimization,” IEEE Trans. Power Systems, vol.28, no.1, pp.385-392, February 2013. (SCI、EI)
      1. 38.
      2. C. N. Guan, C. F. Juang*, and G. C. Chen, “Face localization using fuzzy classifier with wavelet-localized focus color features and shape features,” Digital Signal Processing, vol.22, no.6, pp.961-970, December 2012. (SCI、EI)
      1. 39.
      2. C. F. Juang and G. C. Chen, “A TS fuzzy system learned through a support vector machine in principal component space for real-time object detection,” IEEE Trans. Industrial Electronics, vol.59, no.8, pp.3309-3320, August 2012. (SCI、EI)
      1. 40.
      2. C. F. Juang and C. D. Hsieh, “A fuzzy system constructed by rule generation and iterative linear SVR for antecedent and consequent parameter optimization,” IEEE Trans. Fuzzy Systems, vol.20, no.2, pp.372-384, April 2012. (SCI、EI)
      1. 41.
      2. C. C. Tu and C. F. Juang*, “Recurrent type-2 fuzzy neural network using Haar wavelet energy and entropy features for speech detection in noisy environments,” Expert Systems with Applications, vol.39, no.3, pp.2479-2488, February 2012. (SCI、EI)
      1. 42.
      2. C. F. Juang, Y. Y. Lin, and R. B. Huang, “Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation,” Fuzzy Sets and Systems, vol.179, no.1, pp.83-99, September 2011. (SCI、EI)
      1. 43.
      2. C. F. Juang, T. C. Chen, and W. Y. Cheng, “Speedup of implementing fuzzy neural networks with high-dimensional inputs through parallel processing on graphic processing units,” IEEE Trans. Fuzzy Systems, vol.19, no.4, pp.717-728, August 2011. (SCI、EI)
      1. 44.
      2. C. F. Juang, Y. C. Chang, and C. M. Hsiao, “Evolving gaits of a hexapod robot by recurrent neural networks with symbiotic species-based particle swarm optimization,” IEEE Trans. Industrial Electronics, vol.58, no.7, pp.3110-3119, July 2011. (SCI、EI)
      1. 45.
      2. C. F. Juang and Y. C. Chang, “Evolutionary group-based particle swarm-optimized fuzzy controller with application to mobile robot navigation in unknown environments,” IEEE Trans. Fuzzy Systems, vol.19, no.2, pp.379-392, April 2011. (SCI、EI)
      1. 46.
      2. C. F. Juang and P. H. Chang, “Recurrent fuzzy system design using elite-guided continuous ant colony optimization,” Applied Soft Computing, vol.11, no.2, pp.2687-2697, March 2011. (SCI、EI)
      1. 47.
      2. W. Y. Cheng and C. F. Juang*, “An incremental support vector machine-trained TS-type fuzzy system for on-line classification problems,” Fuzzy Sets and Systems, vol.163, no.1, pp.24-44, January 2011. (SCI、EI)
      1. 48.
      2. C. F. Juang, Y. Y. Lin, and C. C. Tu, “A recurrent self-evolving fuzzy neural network with local feedbacks and its application to dynamic system processing,” Fuzzy Sets and Systems, vol.161, no.19, October 2010. (SCI、EI)
      1. 49.
      2. C. F. Juang, R. B. Huang, and W. Y. Cheng, “An interval type-2 fuzzy neural network with support vector regression for noisy regression problems,” IEEE Trans. Fuzzy Systems, vol.18, no.4, pp.686-699, August 2010. (SCI、EI)
      1. 50.
      2. C. F. Juang and S. W. Chang, “Fuzzy system-based real-time face detection and tracking system with a pan-tilt-zoom camera,” Expert Systems with Applications, vol.37, no.6, pp.4526-4536, June 2010. (SCI、EI)
      1. 51.
      2. C. F. Juang and C. D. Hsieh, “A locally recurrent fuzzy neural network with support vector regression for dynamic system modeling,” IEEE Trans. Fuzzy Systems, vol.18, no.2, pp.261-273, April 2010. (SCI、EI)
      1. 52.
      2. C. F. Juang, C. M. Hsiao, and C. H. Hsu, “Hierarchical cluster-based multi-species particle swarm optimization for fuzzy system optimization,” IEEE Trans. Fuzzy Systems, vol.18, no.1, pp.14-26, February 2010. (SCI、EI)
      1. 53.
      2. C. F. Juang and P. H. Chang, “Designing fuzzy rule-based systems using continuous ant colony optimization,” IEEE Trans. Fuzzy Systems, vol.18, no.1, pp.138-149, February 2010. (SCI、EI)
      1. 54.
      2. C. F. Juang and C. H. Hsu, “Reinforcement interval type-2 fuzzy controller design by on-line rule generation and Q-value-aided ant colony optimization,” IEEE Trans. Syst., Man, and Cyber., Part B: Cybernetics, vol.39, no.6, pp.1528-1542, December 2009. (SCI、EI)
      1. 55.
      2. C. F. Juang, R. B. Huang and Y. Y. Lin, “A recurrent self-evolving interval type-2 fuzzy neural network for dynamic system processing,” IEEE Trans. Fuzzy Systems, vol.17, no.5, pp.1092-1105, October 2009. (SCI、EI)
      1. 56.
      2. C. F. Juang and C. H. Hsu, “Reinforcement ant optimized fuzzy controller for mobile-robot wall-following control,” IEEE Trans. Industrial Electronics, vol.56, no.10, pp.3931-3940, October 2009. (SCI、EI)
      1. 57.
      2. C. F. Juang and C. D. Hsieh, “TS-fuzzy system based support vector regression,” Fuzzy Sets and Systems, vol.160, no.17, pp.2486-2504, September 2009. (SCI、EI)
      1. 58.
      2. C. F. Juang, W. K. Sun and G. C. Chen, “Object detection by color histogram-based fuzzy classifier with support vector learning,” Neurocomputing, vol.72, no.10-12, pp.2464-2476, June 2009. (SCI、EI)
      1. 59.
      2. C. F. Juang and C. M. Lu, “Ant colony optimization incorporated with fuzzy Q-learning for reinforcement fuzzy control,” IEEE Trans. Syst., Man, and Cyber., Part A: Systems and Humans, vol.39, no.3, pp. 597-608, May 2009. (SCI、EI)
      1. 60.
      2. C. F. Juang and C. D. Hsieh, “Fuzzy C-means based support vector machine for channel equalization,” Int. Journal of General Systems, vol.3, no.3, pp.273-289, April 2009. (SCI、EI)
      1. 61.
      2. C. F. Juang, C. L. Lai and C. C. Tu, “Dynamic programming prediction errors of recurrent neural fuzzy networks for speech recognition,” Expert Systems with Applications, vol.36, no.3P2, pp.6368-6374, April 2009. (SCI、EI)
      1. 62.
      2. C. F. Juang and C. Y. Wang, “A self-generating fuzzy system with ant and particle swarm cooperative optimization,” Expert Systems with Applications, vol.36, no.3P1, pp.5362-5370, April 2009. (SCI、EI)
      1. 63.
      2. C. F. Juang, C. M. Chang, J. R. Wu, and D. M. Lee, “Computer vision-based human body segmentation and posture estimation,” IEEE Trans. Syst., Man, and Cyber., Part A: Systems and Humans, vol.39, no.1, pp. 119-133, January 2009. (SCI、EI)
      1. 64.
      2. C. F. Juang and C. H. Hsu, “Reinforcement self-organizing fuzzy control using ant colony optimization,” Int. Journal of Computational Intelligence in Control, vol.1, no.1, pp.15-21, January 2009.
      1. 65.
      2. C. F. Juang, C. N. Cheng, and T. M. Chen, “Speech detection in noisy environments by wavelet energy-based recurrent neural fuzzy network,” Expert Systems with Applications, vol.36, no.1, pp.321-332, January 2009. (SCI、EI)
      1. 66.
      2. C. F. Juang and Y. W. Tsao, “A type-2 self-organizing neural fuzzy system and its FPGA implementation,” IEEE Trans. Syst., Man, and Cyber., Part B: Cybernetics, vol.38, no.6, pp.1537-1548, December 2008. (SCI、EI)
      1. 67.
      2. C. F. Juang and Y. W. Tsao, “A self-evolving interval type-2 fuzzy neural network with on-line structure and parameter learning,” IEEE Trans. Fuzzy Systems, vol.16, no.6, December 2008. (SCI、EI)
      1. 68.
      2. C. F. Juang and C. Lo, “Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm,” Fuzzy Sets and Systems, vol.159, no.21, pp. 2910-2926, November 2008. (SCI、EI)
      1. 69.
      2. C. F. Juang and S. J. Shiu, “Using self-organizing fuzzy network with support vector learning for face detection in color images,” Neurocomputing., vol. 71, no.16-18, pp.3409-3420, October 2008. (SCI、EI)
      1. 70.
      2. C. F. Juang and L. T. Chen, “Moving object recognition by a shape-based neural fuzzy network,” Neurocomputing, vol.71, no.13-15, pp.2937-2949, August 2008. (SCI、EI)
      1. 71.
      2. C. F. Juang, “A symbiotic genetic algorithm with local-and-global mapping search for reinforcement fuzzy control,” Journal of Intelligent & Fuzzy Systems, vol.19, no.2, pp.103-114, April 2008. (SCI、EI)
      1. 72.
      2. C. F. Juang, C. M. Lu, C. Lo, and C. Y. Wang, “Ant colony optimization algorithm for fuzzy controller design and its FPGA implementation,” IEEE Trans. Industrial Electronics, vol.55, no.3, pp. 1453-1462, March 2008. (SCI、EI)
      1. 73.
      2. C. F. Juang and C. I. Lee, “A fuzzified neural fuzzy inference network for handling both linguistic and numerical information simultaneously,” Neurocomputing, vol.71, no.1-3, pp.342-352, December 2007. (SCI、EI)
      1. 74.
      2. C. F. Juang and T. M. Chen, “Birdsong recognition using prediction-based recurrent neural fuzzy networks,” Neurocomputing, vol.71, no.1-3, pp.121-130, December 2007. (SCI、EI)
      1. 75.
      2. C. F. Juang and C. Lo, “Fuzzy systems design by clustering-aided ant colony optimization for plant control,” Int. Journal of General Systems, vol.36, no.6, pp.623-641, December 2007. (SCI、EI)
      1. 76.
      2. C. F. Juang, S. H. Shiu, and S. J. Shiu, “Fuzzy systems learned through fuzzy clustering and support vector machine for human skin color segmentation,” IEEE Trans. Syst., Man, and Cyber., Part A: Systems and Humans, vol.37, no.6, pp.1077-1087, November 2007. (SCI、EI)
      1. 77.
      2. C. F. Juang and C. M. Chang, “Human body posture classification by a neural fuzzy network and home care system application,” IEEE Trans. Syst., Man, and Cyber., Part A: Systems and Humans, vol.37, no.6, pp.984-994, November 2007. (SCI、EI)
      1. 78.
      2. C. F. Juang, H. S. Permg and S. H. Chiu, “Block histogram-based neural fuzzy approach to the segmentation of skin colors,” Journal of Information Science and Engineering, vol.23, no.6, pp.183-201, November 2007. (SCI、EI)
      1. 79.
      2. C. F. Juang and I. F. Chung, “Recurrent fuzzy network design using hybrid evolutionary learning algorithms,” Neurocomputing, vol.70, pp. 3001-3010, October 2007. (SCI、EI)
      1. 80.
      2. C. F. Juang, S. H. Chiu, and S. W. Chang, “A self-organizing TS-type fuzzy network with support vector learning and its application to classification problems,” IEEE Trans. Fuzzy Systems, vol.15, no.5, pp.998-1008, October 2007. (SCI、EI)
      1. 81.
      2. C. F. Juang, I. F. Chung and C. H. Hsu, “Automatic construction of feedforward/recurrent fuzzy systems by clustering-aided simplex particle swarm optimization,” Fuzzy Sets and Systems, vol.158, no.18, pp.1979-1996, September 2007. (SCI、EI)
      1. 82.
      2. C. F. Juang, C. T. Chiou, and C. L. Lai, “Hierarchical singleton-type recurrent neural fuzzy networks for noisy speech recognition,” IEEE Trans. Neural Networks, vol.18, no.3, pp.833-843, May 2007. (SCI、EI)
      1. 83.
      2. C. F. Juang and J. S. Chen, “A recurrent neural fuzzy network based inverse modeling method for a temperature system control,” IEEE Trans. Syst., Man, and Cyber., - Part C: Applications and Reviews, vol.37, no.3, pp. 410-417, May 2007. (SCI、EI)
      1. 84.
      2. F. B.Duh and C. F. Juang, “Radar pulse compression for point target and distributed target using neural network,” Journal of Information Science and Engineering, vol.23, no.1, pp.183-201, January 2007. (SCI、EI)
      1. 85.
      2. C. F. Juang, S. T. Huang, and F. B. Duh, “Mold temperature control of a rubber injection molding machine by TSK-type recurrent fuzzy network,” Neurocomputing, vol.70, no.1-3, pp.559-567, December 2006. (SCI、EI)
      1. 86.
      2. (*Highly Cited Paper) C. F. Juang and J. S. Chen, “Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation,” IEEE Trans. Industrial Electronics, vol.53, no.3, pp.941-949 , June 2006. (SCI、EI)
      1. 87.
      2. C. F. Juang, “Simultaneous structure and parameter design of fuzzy systems by hybridizing multi-group genetic algorithm and particle swarm optimization,” Journal of Intelligent and Fuzzy Systems, vol.17, no.2, pp.83-93, April 2006. (SCI、EI)
      1. 88.
      2. C. F. Juang and C. F. Lu, “Load frequency control by hybrid evolutionary fuzzy PI controller,” IEE Proc. Generation, Transmission & Distribution, vol.153, no.2, pp.196-204 , March 2006. (SCI、EI)
      1. 89.
      2. C. F. Juang and C. H. Hsu, “Temperature control by chip-implemented adaptive recurrent fuzzy controller designed by evolutionary algorithm,” IEEE Trans. Circuits and Systems-I: Regular Papers, vol.52, no.11, pp.2376-2384, November 2005. (SCI、EI)
      1. 90.
      2. C. F. Juang and C. F. Lu, “Power system load frequency control by genetic fuzzy gain scheduling controller,” Journal of Chinese Institute of Engineers, vol.28, no.6, pp.1013-1018, October 2005. (SCI、EI)
      1. 91.
      2. C. F. Juang and K. C. Ku, “A recurrent fuzzy network for fuzzy temporal sequence processing and gesture recognition,” IEEE Trans. Syst., Man, and Cyber., Part B: Cybernetics, vol.35, no.3, pp.646-658, August 2005. (SCI、EI)
      1. 92.
      2. C. F. Lu and C. F. Juang, “Evolutionary fuzzy control of flexible AC transmission system,” IEE Proc. Generation, Transmission & Distribution, vol.152, no.4, pp.441-448, July 2005. (SCI、EI)
      1. 93.
      2. C. F. Juang, “Combination of on-line clustering and Q-value based GA for reinforcement fuzzy system design,” IEEE Trans. Fuzzy Systems, vol.13, no.3, pp.289-302, June 2005. (SCI、EI)
      1. 94.
      2. C. F. Juang, “Genetic recurrent fuzzy system by coevolutionary computation with divide-and-conquer technique,” IEEE Trans. Syst., Man, and Cyber., Part C: Applications and Reviews, vol.35, no.2, pp.249-254, May 2005. (SCI、EI)
      1. 95.
      2. (*Highly Cited Paper) C. F. Juang, “A hybrid of genetic algorithm and particle swarm optimization for recurrent network design,” IEEE Trans. Syst., Man, and Cyber., Part B: Cybernetics, vol.34, no.2, pp.997-1006, April 2004. (SCI、EI)
      1. 96.
      2. C. F. Juang, “Temporal problems solved by dynamic fuzzy network based on genetic algorithm with variable-length chromosomes,” Fuzzy Sets and Systems, vol.142, no.2, pp.199-219, March 2004. (SCI、EI)
      1. 97.
      2. F. B. Duh, C. F. Juang, and C. T. Lin, “A neural fuzzy network approach to radar pulse compression,” IEEE Trans. Geoscience and Remote Sensing Letters, vol.1, no.1, pp.15-20, January 2004. (SCI、EI)
      1. 98.
      2. C. F. Juang and S. J. Ku, “A prediction-based recurrent neural fuzzy network for temporal sequence recognition,” Journal Of Engineering, NCHU, vol.14, no.2, pp.115-122, July 2003.
      1. 99.
      2. C.F. Juang, “An automatic building approach to special Takagi-Sugeno fuzzy network for unknown plant modeling and stable control,” Asian Journal of Control, vol.5, no.2, pp.176-186, June 2003. (SCI、EI)
      1. 100.
      2. (*Highly Cited Paper) C.F. Juang, “A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms,” IEEE Trans. Fuzzy Systems, vol.10, no.2, pp.155-170, April 2002. (SCI、EI)
      1. 101.
      2. C.F. Juang and C.T. Lin, “Noisy speech processing by recurrently adaptive fuzzy filter,” IEEE Trans. Fuzzy Systems, vol.9, no.1, pp.139-152, February 2001. (SCI、EI)
      1. 102.
      2. C. T. Lin, C.F. Juang, and C.P. Li, “Water bath temperature control with a neural fuzzy inference network,” Fuzzy Sets and Systems, vol.111, no.2, pp.285-306, April 2000. (SCI、EI)
      1. 103.
      2. (*Highly Cited Paper) C.F. Juang, J.Y. Lin and C.T. Lin, “Genetic reinforcement learning through symbiotic evolution for fuzzy controller design,” IEEE Trans. Syst., Man, Cybern., Part B: Cybernetics, vol.30, no.2, pp.290-302, April 2000. (SCI、EI)
      1. 104.
      2. C. T. Lin, C.F. Juang, and C.P. Li, “Temperature control with a neural fuzzy inference network,” IEEE Trans. Syst., Man, Cybern., Part C: Applications and Reviews, vol.29, no.3, pp.440-451, August 1999. (SCI、EI)
      1. 105.
      2. (*Highly Cited Paper) C.F. Juang and C.T. Lin, “A recurrent self-organizing neural fuzzy inference network,” IEEE Trans. Neural Networks, vol.10, pp.828-845, July 1999. (SCI、EI)
      1. 106.
      2. C.T. Lin, C.F. Juang and J.C. Huang, “Temperature control of rapid thermal processing system using adaptive fuzzy network,” Fuzzy Sets and Systems, vol.103, pp.49-65. (SCI、EI)
      1. 107.
      2. (*Highly Cited Paper) C.F. Juang and C.T. Lin, “An on-line self-constructing neural fuzzy inference network and its applications ,” IEEE Trans. Fuzzy Systems, vol.6, no.1, pp.12-32, February 1998. (SCI、EI)
      1. 108.
      2. C.T. Lin and C.F. Juang, “An adaptive neural fuzzy filter and its applications,” IEEE Trans. Syst., Man, Cybern. Part B: Cybernetics, vol.27, pp.635-656, August 1997. (SCI、EI)
      1. 109.
      2. C.F. Juang and C.T. Lin, “A self-organizing neural fuzzy inference network for identification and control,” Journal of Control Systems and Technology, vol.4, no.4, pp.269-280. (EI)
    2. B.研討會論文
      1. 1.
      2. C. H. Sit, C. F. Juang, and T. H. Chien, “3D printed robotic arm for object gripping using vision-based mask R-CNN and inverse kinematics,” Proc. CACS Int. Automatic Control Conf, Hsinchu, Taiwan, November 2020.
      1. 2.
      2. H. C. Wang and C. F. Juang, “Detection and segmentation of defects on flexible printed circuit boards using deep learning,” Proc. CACS Int. Automatic Control Conf, Hsinchu, Taiwan,, November 2020.
      1. 3.
      2. T. S. Hung, C. F. Juang, and C. J. Chen, “Human hand posture 3D tracking using a monocular camera with robot imitation application,” Proc. CACS Int. Automatic Control Conf, Hsinchu, Taiwan, November 2020.
      1. 4.
      2. Y. M. Lin, C. F. Juang, and G. R. Pan, “Fuzzy neural network with deep features for posture classification,” Proc. CACS Int. Automatic Control Conf., Hsinchu, Taiwan, November 2020.
      1. 5.
      2. C. F. Juang, C. Y. Chou, and Y. S. Yang, “Map-free path planning of a fuzzy-controlled mobile robot in unknown environments,” Proc. Int. Conf. System Science and Eng., Kagawa, Japan, August 2020.
      1. 6.
      2. Y. W. Lai, L. C. Yen, C. H. Sit, and C. F. Juang, “Human-robot arm interaction through image recognition and deep learning,” Proc. Nat. Symp. Systems Science and Engineering, Taichung, Taiwan, pp.1-5, June 2020.
      1. 7.
      2. S. N. Guo, C. F. Juang, and W. S. Chen, “Inspection of flexible printed circuit board line defects using deep learning,” Proc. Int. Conf. Fuzzy Theory and Its Applications, New Taipei City, Taiwan, November 2019.
      1. 8.
      2. H. C. Peng, C. F. Juang, and B. R. He, “Autonomous feedforward gait generation of a hexapod robot through evolutionary central pattern generator,” Proc. CACS Int. Automatic Control Conf., Keelung, Taiwan, November 2019.
      1. 9.
      2. C. Y. Chou, C. F. Juang, and C. H. Lu, “Target seeking control of mobile robot using fuzzy PID controllers,” Proc. Int. Conf. Advanced Robotics and Intelligent Systems, Taipei, Taiwan, August 2019.
      1. 10.
      2. H. J. Jiang, C. F. Juang, and I. F. Chung, “Locating the significant points of human body in images using geometric characteristic and color information,” Proc. Int. Conf. Advanced Technology Innovation, Hokkaido, Japan, July 2019.
      1. 11.
      2. H. A. Lin, T. T. Tseng, C. F. Juang, G. C. Chen, “Object localization and segmentation using hybrid features and fuzzy classifiers with a small training set from an RGB-D camera,” Proc. Int. Conf. Advanced Computational Intelligence, Guilin, China, pp.239-243, June 2019.
      1. 12.
      2. Y. C. Lo, C. F. Juang, I. F. Chung, S. N. Guo, M. L. Huang, M. C. Wen, C. J. Lin, and H. Y. Lin, “Glomerulus detection on light microscopic images of renal pathology with the faster R-CNN,” Proc. 25th Int. Conf. on Neural Information Processing,, Siem Reap, Cambodia, pp. 369-377, December 2018.
      1. 13.
      2. C. F. Juang, Y. J. Chen, and C. M. Hsu, “Evolutionary multiobjective interval type-2 fuzzy controller for system control,” Proc. CACS Int. Automatic Control Conf., Taoyuan, Taiwan, November 2018.
      1. 14.
      2. S. N. Guo, C. F. Juang, and W. E. Ni, “Classification of line defect images in flexible printed circuits using a deep convolutional neural network,” Proc. the 26th National Conf. Fuzzy Theory and Its Applications, Taoyuan, Taiwan, November 2018.
      1. 15.
      2. I. T. Chen, H. C. Peng, and C. F. Juang, “On the introduction of FPGA experiments into DSP teaching innovation: An FIR lowpass filter design example,” Proc. Conf. Applications of Innovation & Invention, Taichung, Taiwan, pp.80-84, November 2018.
      1. 16.
      2. C. F. Juang, Y. C. Chang, H. C. Peng, and C. Y. Chou, “Evolutionary recurrent neural network-based gait control of a hexapod robot,” Proc. Int. Conf. Advanced Robotics and Intelligent Systems, Taipei, Taiwan, September 2018.
      1. 17.
      2. C. F. Juang, Y. C. Chang, and I. F. Chung, “Evolutionary hexapod robot gait control using a new recurrent neural network learned through group-based hybrid metaheuristic algorithm,” Proc. The Genetic and Evolutionary Computation Conference, Tokyo, Japan, July 2018.
      1. 18.
      2. C. Y. Chou and C. F. Juang, “Mobile robot localization using particle filtered fusion of StarGazer sensor and encoders,” Proc. CACS Int. Automatic Control Conf., Pingtung, Taiwan, November 2017.
      1. 19.
      2. C. F. Juang, W. C. Chiang, C. W. Chang, and W. E. Ni, “A parsimonious fuzzy classifier learned through support vector machine and margin selective gradient descent,” Proc. Int. Conf. Fuzzy Theory and Its Applications, Pingtung, Taiwan, November 2017.
      1. 20.
      2. C. F. Juang,Y. T. Yeh, and K. Y. Tang, “Evolutionary recurrent neural network-based central pattern generator for NAO robot gait control,” Proc. Int. Conf. Advanced Robotics and Intelligent Systems, Taipei, Taiwan , September 2017.
      1. 21.
      2. M. Z. Lai, C. F. Juang, I. F. Chung, “Evolutionary fuzzy control of three robots cooperatively carrying an object for wall following through fusion of continuous ACO and PSO,” Proc. Int. Conf. Swarm Intelligence (in Book: Advances in Swarm Intelligence, Springer), Fukuoka, Japan, pp.225-232, July 2017.
      1. 22.
      2. C. A. Huang and C. F. Juang, “Evolutionary fuzzy control of two cooperative object-carrying wheeled robots for wall following through multi-objective continuous ACO,” Proc. Joint World Conf. of Int. Fuzzy Systems Assoc. and Int. Conf. Soft Computing and Intelligent Systems, Otsu, Shiga, Japan, pp.1-3, June 2017.
      1. 23.
      2. H. J. Jiang, C. F. Juang, and G. J. Wang, “Indoors human body segmentation and significant point localization,” Proc. Nat. Symp. Systems Science and Engineering, Taipei, Taiwan, pp.87-90, May 2017.
      1. 24.
      2. F. S. Fang, C. F. Lu, Y. L. Weng, C. F. Juang, and C. A. Huang, “On the introduction of industry 4.0 technique and type-2 fuzzy neural network into the prediction of abnormal boiler drum water level in a thermal power plant,” Proc. Automation , Taichung, Taiwan, pp.1-6, November 2016.
      1. 25.
      2. C. F. Juang, C. M. Hsu, Y. M. Chen, C. F. Lu, and Y. L. Weng, “Data-driven multiobjective particle swarm optimized fuzzy controller for hexapod robot control,” Proc. Int. Conf. Fuzzy Theory and Its Applications, Taichung, Taiwan, pp.131, November 2016.
      1. 26.
      2. T. B. Bui and C. F. Juang, “Navigation of mobile robot in unknown environments using fuzzy controller with multiobjective ant colony optimization,” Proc. CACS Int. Automatic Control Conf., Taichung, Taiwan, pp.309, November 2016.
      1. 27.
      2. C. F. Juang and Y. C. Chang, “Data-driven interpretable fuzzy controller design through mult-objective genetic algorithm,” Proc. IEEE Int. Conf. Syst., Man, and Cyber., Budapest, Hungary, pp.2403-2408, October 2016.
      1. 28.
      2. G. C. Chen, C. F. Juang, and I. F. Chung, “Object detection using color entropy-based fuzzy classifier with expanded consequent space,” Proc. Joint 8th Int. Conf. Soft Computing and Intelligent Systems and 17th Int. Symp. Advanced Intelligent Systems, Sappora, Hokkiaido, Japan, pp.955-957, August 2016.
      1. 29.
      2. C. F. Juang,Y. H. Jhan, and Y. M. Chen, “Hexapod robot multi-objective wall-following fuzzy control learned through non-dominated sorting genetic algorithm,” Proc. Int. Conf. Advanced Robotics and Intelligent Systems, Taipei, Taiwan, pp.1, August 2016.
      1. 30.
      2. M. G. Lai, W. T. Zeng, and C. F. Juang, “Navigation for two fuzzy controlled cooperative object-carrying robots in concave maps with the consideration of dead-cycle problem,” Proc. IEEE Int. Conf. Fuzzy Systems, Vancouver, Canada, pp.1905-1909, July 2016.
      1. 31.
      2. C. F. Juang and C. W. Hung, “Evolutionary interval type-2 fuzzy systems using continuous ant colony optimization algorithms,” Proc. IEEE Conf. Industrial Electronics and Applications, Hefei, China, pp. 26-31, June 2016.
      1. 32.
      2. C. H. Lin, Y. C. Chang, and C. F. Juang, “Data-driven multi-objective continuous ant colony optimized fuzzy controller for wheeled robot motion control,” Proc. Int. Conf. Fuzzy Theory and Its Applications, Yilan, Taiwan, pp.44, November 2015.
      1. 33.
      2. W. T. Zeng, C. F. Juang, and C. J. Lin, “Wall following control of object-carrying robots using particle swarm optimized FC through reinforcement signals,” Proc. IEEE Int. Conf. System Science and Engineering, Morioka, Japan, pp.335-342, July 2015.
      1. 34.
      2. C. F. Juang, W. Y. Cheng, and C. W. Liang, “GPU implementation of interval type-2 neural fuzzy systems,” Proc. Int. Conf. Fuzzy Theory and Its Applications, Taiwan, pp.190, November 2014.
      1. 35.
      2. Z. Y. Yang, and C. F. Juang, “Evolutionary locomotion control of a hexapod robot using particle swarm optimized fuzzy controller,” Proc. IEEE Int. Syst., Man, and Cyber., San Diego, CA, USA, pp.3919-3924, October 2014. (EI)
      1. 36.
      2. C. F. Juang and C. H. Hsu, “Structure and parameter optimization of FNNs using multi-objective ACO for control and prediction,” Proc. IEEE Int. Conf. Fuzzy Systems, Beijing, China, pp.928-933, July 2014. (EI)
      1. 37.
      2. C. F. Juang and G. C. Chen, “A high-order fuzzy classifier learned through clustering and gradient descent algorithm for classification problems,” Proc. IEEE Conf. Industrial Electronics and Applications, Hangzhou, China, pp.226-230, June 2014. (EI)
      1. 38.
      2. Z. Y. Yang, and C. F. Juang, and Y. H. Jhan, “Hexapod robot wall-following control using a fuzzy controller,” Proc. IEEE Conf. Control and Automation, Taichung, Taiwan, pp.574-578, June 2014. (EI)
      1. 39.
      2. C. H. Hsu, C. F. Juang, and Y. H. Jhan, “Evolutionary fuzzy control using rule-based multi-objective genetic algorithms,” Proc. Int. Conf. Fuzzy Theory and Its Applications, Taiwan, pp.391-396, December 2013. (EI)
      1. 40.
      2. C. F. Juang, W. T. Zeng, C. W. Liang, and W. Y. Cheng, “Fuzzy control of an e-puck mobile robot through particle swarm optimization with reinforcement signals,” Proc. Of the 21st National Conf. On Fuzzy Theory and Its Applications, Taipei, Taiwan, pp.25-29, December 2013.
      1. 41.
      2. C. F. Juang, C. Y. Chen, and P. H. Wang, “An interval type-2 fuzzy neural network with structure learning and rule-ordered gradient descent algorithm for function approximation,” Proc. Nat. Symp. Systems Science and Engineering, New Taipei City, pp.646-650, June 2013.
      1. 42.
      2. M. K. Tseng, C. F. Juang, G. C. Chen, and W. J. Jiang, “Human hand gesture recognition using fuzzy neural networks,” Proc. Of the 20th National Conf. On Fuzzy Theory and Its Applications, Taichung, Taiwan, pp.53-57, November 2012.
      1. 43.
      2. K. J. Juang, C. F. Juang, and B. X. Wang, “A self-organizing interval type-2 neural fuzzy system with simplified type-reduction operation,” Proc. Of the 20th National Conf. On Fuzzy Theory and Its Applications, Taichung, Taiwan, pp. 26-31, November 2012.
      1. 44.
      2. G. C. Chen and C. F. Juang, “Fuzzy classifier with support vector learning for image retrieval using a specified object,” Proc. IEEE Int. Syst., Man, and Cyber., Seoul, Korea, pp.2706-2710, October 2012. (EI)
      1. 45.
      2. C. F. Juang, C. W. Liang, C. L. Lee, and I. F. Chung, “Vision-based human body posture recognition using support vector machines,” Proc. the 4th Int. Conf. Awareness Science and Technology, Seoul, Korea, pp.150-155, August 2012.
      1. 46.
      2. C. H. Hsu and C. F. Juang, “Continuous ant optimized type-2 fuzzy controller for accurate mobile robot wall-following control,” Proc. Int. Conf. Fuzzy Theory and Its Applications, Taiwan, pp.187-191, January 2012. (EI)
      1. 47.
      2. C. S. Chang, C. C. Chen, and C. F. Juang, “Vision-based 3D head pose tracking using fuzzy classifier-based face segmentation and silhouette volume intersection,” Proc. Int. Conf. Fuzzy Theory and Its Applications, Taiwan, January 2012. (EI)
      1. 48.
      2. C. Y. Chen, C. F. Juang, and K. J. Juang, “FPGA implementation of interval type-2 fuzzy systems with simplified type-reduction operation,” Proc. Of the 19th National Conf. On Fuzzy Theory and Its Applications, Taiwan, R.O.C., November 2011.
      1. 49.
      2. C. C. Liao, C. F. Juang, and C. H. Hsu, “Fuzzy control of flexible AC transmission systems through rule-based cooperative particle swarm optimization,” Proc. Of the 19th National Conf. On Fuzzy Theory and Its Applications, Taiwan, R.O.C., November 2011.
      1. 50.
      2. C. H. Hsu and C. F. Juang, “PSO-designed fuzzy controller for wall-following control of intelligent human symbiotic service robots,” Proc. Int. Conf. Service and Interactive Robotics, Taichung, Taiwan, pp. 139-142, November 2011.
      1. 51.
      2. C. H. Hsu and C. F. Juang, “Self-organizing interval type-2 fuzzy Q-learning for reinforcement fuzzy control,” Proc. IEEE Int. Conf. On Syst., Man, and Cyber., USA, pp.2033-2038, October 2011.
      1. 52.
      2. G. C. Chen and C. F. Juang, “Vision-based real-time detection of objects with non- homogeneous color distributions using a fuzzy classifier,” Proc. Society of Instrument and Control Engineers (SICE) 2011 Annual Conference, Tokyo, Japan, pp.2817-2821, September 2011.
      1. 53.
      2. C. F. Juang and R. B. Huang, “A Mamdani-type recurrent interval type-2 fuzzy neural network for identification of dynamic systems with measurement noise,” Proc. Of 18th IFAC World Congress, Italy, pp.8975-8980, August 2011.
      1. 54.
      2. C. F. Juang, Y. C. Chang, C. H. Hsu, and I. F. Chung, “Fuzzy controller design using group-crossover particle swarm optimization for truck reversing control,” Proc. IEEE Int. Conf. Fuzzy Systems, Taipei, Taiwan, pp.2664-2667, June 2011.
      1. 55.
      2. C. D. Hsieh and C. F. Juang, “Splitting K-means generated neural fuzzy system with support vector regression,” Proc. IEEE Int. Conf. Fuzzy Systems, Taipei, Taiwan, pp.1417-1421, June 2011.
      1. 56.
      2. L. H. Sui, G. C. Chen, and C. F. Juang, “Vision-based biped robot localization and multicolored target seeking,” Proc. Nat. Symp. System Science and Engineering, Nantou, Taiwan, June 2011.
      1. 57.
      2. Y. C. Chang, C. F. Juang, and C. H. Hsu, “Fuzzy controller design by hybrid GA and PSO with reinforcement wheeled mobile robot navigation application,” Proc. Of the 18th National Conf. On Fuzzy Theory and Its Applications, Taiwan, R.O.C., pp.353-357, December 2010.
      1. 58.
      2. C. F. Juang, C. F. Lu, and P. H. Chang, “Dynamic plant control using recurrent fuzzy controller with ant colony optimization in real space,” Proc. IEEE Int. Conf. On Syst., Man, and Cyber., Istanbul, Turkey, pp.1134-1138, October 2010. (EI)
      1. 59.
      2. C. F. Juang, C. F. Lu, C. M. Hsiao, and C. H. Hsu, “Fuzzy control of nonlinear plants through rule-based cooperative particle swarm optimization,” Proc. Society of Instrument and Control Engineers (SICE) 2010 Annual Conference, Taipei, Taiwan, pp.2094-2096, August 2010. (EI)
      1. 60.
      2. I. F. Chung, C. F. Juang and C. D. Hsieh, “Support vector-trained recurrent fuzzy system,” Proc. IEEE Int. Conf. Fuzzy Systems, Barcelona, Spain, pp.2965-2969, July 2010. (EI)
      1. 61.
      2. F. Juang, C. D. Hsieh, and J. L. Hong, “Fuzzy clustering-based neural fuzzy network with support vector regression,” Proc. 5th IEEE Conf. Industrial Electronics and Applications, Taichung, Taiwan, pp.576-581, June 2010. (EI)
      1. 62.
      2. C. F. Juang, W. Y. Cheng, and T. C. Chen, “Batch support vector machine-trained fuzzy classifier with channel equalization application,” Proc. 5th IEEE Conf. Industrial Electronics and Applications, Taichung, Taiwan, pp. 582-586, June 2010. (EI)
      1. 63.
      2. C. F. Juang, Y. S. Huang, and W. Y. Cheng, “Flower segmentation and classification using neural fuzzy system with color and contour features,” Proc. Of the 17th National Conf. On Fuzzy Theory and Its Applications, Kaohsiung, Taiwan, pp.420-424, December 2009.
      1. 64.
      2. C. F. Juang, J. R. Wu, and J. L. Lee, “Human posture sequence classification using recurrent fuzzy neural networks,” Proc. Of the 17th National Conf. On Fuzzy Theory and Its Applications, Kaohsiung, Taiwan, pp.425-430, November 2009.
      1. 65.
      2. C. F. Juang and C. H. Hsu, “An evolutionary mobile robot for wall following locomotion control using interval type-2 fuzzy controller,” Proc. CACS Int. Automatic Control Conf., Taipei, Taiwan, November 2009.
      1. 66.
      2. H. Y. Lin, L. W. Huang, J. S. Taur, and C. F. Juang, “Human objects segmentation using disparity image sequences,” Proc. CACS Int. Automatic Control Conf., Taipei, Taiwan, November 2009.
      1. 67.
      2. C. F. Lu, C. F. Juang, C. H. Hsu, and K. R. Gau, “Application of fuzzy control on the coordination of thyristor controlled series capacitors in multi-machine power system,” Proc. Of the 30th Symposium on Electrical Power Engineering, Taiwan, November 2009.
      1. 68.
      2. C. F. Juang and G. C. Chen, “A computer vision-based automatic object detection system with new color feature for smart house,” Proc. CACS Int. Automatic Control Conf., Taipei, Taiwan, October 2009.
      1. 69.
      2. C. F. Juang, C. H. Hsu, and C. F. Chuang, “Reinforcement self-organizing interval type-2 fuzzy system with ant colony optimization,” Proc. IEEE Int. Conf. On Syst., Man, and Cyber., TX, USA, pp.787-792, October 2009.
      1. 70.
      2. C. F. Juang, C. N. Cheng, and C. C. Tu, “Wavelet energy-based support vector machine for noisy word boundary detection with speech recognition application,” Proc. 21st Conf. Computational Linguistics and Speech Processing, Taichung, Taiwan, pp.21-29, September 2009.
      1. 71.
      2. C. F. Juang, Y. Y. Lin, and I. F. Chung, “Dynamic system identification using a type-2 recurrent fuzzy neural network,” Proc. Of the 7th Asian Control Conf., Hong Kong, China, pp.768-772, August 2009. (EI)
      1. 72.
      2. C. F. Juang, C. N. Cheng, and C. C. Tu, “Recurrent neural fuzzy network for word boundary detection using hybrid wavelet and time domain features,” Proc. Of the 16th National Conf. On Fuzzy Theory and Its Applications, Chung-Li, Taiwan, R.O.C., pp.351-355, December 2008.
      1. 73.
      2. C. F. Juang, C. H. Hsu, and B. H. Chang, “Reinforcement ant fuzzy system for simulated truck backing control,” Proc. Of the 16th National Conf. On Fuzzy Theory and Its Applications, Chung-Li, Taiwan, R.O.C., pp.158-161, December 2008.
      1. 74.
      2. C. F. Juang and C. D. Hsieh, “TS-fuzzy system design by fuzzy clustering and support vector regression for noisy function approximation,” Proc. CACS Int. Automatic Control Conf., Tainan, Taiwan, November 2008.
      1. 75.
      2. C. F. Juang, Y. P. Kang, and C. Lo, “Fuzzy controller design by clustering-aided ant colony optimization,” Proc. Of 17th IFAC World Congress, Seoul, Korea, pp.12297-12302, July 2008.
      1. 76.
      2. C. F. Juang, C. F. Lu and Y. W. Tsao, “A self-evolving interval type-2 fuzzy neural network for nonlinear systems identification,” Proc. Of 17th IFAC World Congress, Seoul, Korea, pp.7588-7593, July 2008.
      1. 77.
      2. W. Y. Lin, C. F. Juang and W. Y. Zheng, “A self-organizing fuzzy rule-based neural network,” Proc. National Symp. System Science and Engineering , I-Lan, Taiwan, June 2008.
      1. 78.
      2. C. F. Juang, Y. W. Tsao, and Y. Y. Lin, “A type-2 fuzzy neural network for on-line time-varying plant modeling,” Proc. The 16th National Conf. Automation Technology, Kaohsiung, Taiwan, pp.82-86, June 2008.
      1. 79.
      2. S. X. Chen, C. F. Juang and W. Y. Zheng, “Fuzzy rule-based backpropagation neural network constructed by divide-and-conquer technique,” Proc. The 16th National Conf. Automation Technology, Kaohsiung, Taiwan, pp.787-791, June 2008.
      1. 80.
      2. C. F. Juang and C. M. Lu, “Reinforcement fuzzy control using ant colony optimization,” Proc. IEEE Int. Conf. On Syst., Man, and Cyber, Singapore, pp. 927-931, January 2008. (EI)
      1. 81.
      2. C. F. Juang and S. W. Chang, “Real-time face tracking with a pan-tilt-zoom camera using fuzzy systems for homecare system,” Proc. Of CACS Int. Automatic Control Conf., Taichung, Taiwan, pp.464-468, November 2007.
      1. 82.
      2. C. F. Juang and C. D. Hsieh, “Fuzzy C-means based support vector machine for classification,” Proc. Of CACS Int. Automatic Control Conf., Taichung, Taiwan, pp.75-78, November 2007.
      1. 83.
      2. C. F. Juang, H. J. Huang and C. M. Lu, “Fuzzy controller design by ant colony optimization,” Proc. of IEEE Int. Conf. Fuzzy Systems, London, UK, pp.29-33, July 2007. (EI)
      1. 84.
      2. C. F. Juang, C. H. Hsu, and C. D. Hsieh, “Temperature control by recurrent fuzzy network designed via clustering aided swarm intelligencex,” Proc. Of IEEE Int. Conf. On Systems, Man, and Cybernetics, Taiwan, October 2006. (EI)
      1. 85.
      2. C. F. Juang, I. F. Chung, and S. K. Chen, “Group-based evolutionary swarm intelligence for recurrent fuzzy controller design,” Prof. of IEEE Int. Conf. Fuzzy Ssytems, Canada, pp.7901-7905, July 2006. (EI)
      1. 86.
      2. C. F. Juang , S. H. Chiu, I. F. Chung, and Y. C. Liou, “Skin-Color segmentation by histogram based TS-type fuzzy system trained by support vector machine,” Prof. of IEEE Int. Conf. Fuzzy Ssytems, Canada, pp.5435-5439, July 2006. (EI)
      1. 87.
      2. C. F. Juang, C. I. Lee, and T. J. Chan, “A fuzzified neural fuzzy inference network that learns from linguistic information,” Prof. of IEEE & INNS Int. Joint Conf. Neural Networks, Canada, pp.5201-5206, July 2006. (EI)
      1. 88.
      2. C. F. Juang, S. T. Huang, and Y. C. Liou, “Temperature control of a rubber shoot shaping machine by recurrent neural fuzzy controller,” Prof. of IEEE & INNS Int. Joint Conf. Neural Networks, Canada, pp.10085-10089, July 2006. (EI)
      1. 89.
      2. C. F. Lu, C. F. Juang and Y. T. Lin, “Using a new genetic algorithm to design a fuzzy gain scheduling controller on load frequency control,” Proc. Of the 26th Symposium on Electrical Power Engineering, Jung-Li, Taiwan, pp.1081-1085, December 2005.
      1. 90.
      2. C. F. Juang, S. J. Shiu, and S. H. Chiu, “Face detection and tracking by support vector machine trained fuzzy system for robot vision system,” Proc. Of CACS Automatic Control Conference, Tainan, Taiwan, November 2005.
      1. 91.
      2. C. F. Juang, L. T. Chen, W. K. Sun and H. J. Huang, “Moving object recognition by neural fuzzy network for visual surveillance system,” Proc. Of the 12th Int. Conf. On Neural Information Processing, Taipei, Taiwan, pp.491-495, October 2005.
      1. 92.
      2. C. F. Juang, S. H. Chiu, S. J. Shiu, and H. J. Huang, “Block histogram-based support vector machine for skin color segmentation,” Proc. Of the 12th Int. Conf. On Neural Information Processing, Taipei, Taiwan, pp.486-490, October 2005.
      1. 93.
      2. C. F. Juang, H. S. Perng, and S. K. Chen, “Skin color segmentation by histogram-based neural fuzzy network,” Proc. Of IEEE & INNS Int. Joint Conf. On Neural Networks, Montreal, Canada, pp.3058-3062, August 2005. (EI)
      1. 94.
      2. C. F. Juang, K. C. Ku, and S. K. Chen, “Temporal hand gesture recognition by fuzzified TSK-type recurrent fuzzy network,” Proc. Of IEEE & INNS Int. Joint Conf. On Neural Networks, Montreal, Canada, pp.1848-1853, August 2005. (EI)
      1. 95.
      2. C. F. Juang, S. H. Chiu, H. S. Perng, and N. Y. Shin, “Automatic skin color segmentation by backpropagation neural network for robot vision system,” Proc. of the Eighth Int. Conf. on Automation Technology, Taichung, Taiwan, pp.207-211, May 2005.
      1. 96.
      2. C. F. Juang, K. C. Ku, and N. Y. Shin, “Human-machine interface by dynamic gesture recognized by prediction-based recurrent neural network,” Proc. of the Eighth Int. Conf. on Automation Technology, Taichung, Taiwan, pp.119-123, May 2005.
      1. 97.
      2. C. F. Juang and C. F. Lu, “Fuzzy controller design by hybrid evolutionary learning algorithms,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, Reno, USA, pp.525-529, May 2005. (EI)
      1. 98.
      2. C. F. Juang, C. H. Hsu and H. J. Huang, “FPGA implementation of a recurrent neural fuzzy network for on-line temperature control,” Prof. of IEEE Symp. On Circuits and Systems, Kobe, Japan, pp.3043-3046, May 2005. (EI)
      1. 99.
      2. C. F. Juang, C. T. Chiou and Y. C. Liou, “Noisy speech recognition by hierarchical recurrent neural fuzzy networks,” Prof. of IEEE Symp. On Circuits and Systems, Kobe, Japan, pp.5122-5125, May 2005. (EI)
      1. 100.
      2. F. B. Duh, C. F. Juang, and C. T. Lin, “Application of neural fuzzy network to pulse compression with binary phase code,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, MO, USA, pp.1389-1394, May 2005.
      1. 101.
      2. C. F. Juang, C. H. Hsu, and H. J. Huang, “Fuzzy systems design by simplex particle swarm optimization,” Proc. Of the 12th National Conf. On Fuzzy Theory And Its Applications, I-Lan, Taiwan, R.O.C, November 2004.
      1. 102.
      2. C. F. Juang, C. F. Lu, and K. H. Chen, “Fuzzy PI controller designed by genetic particle swarm optimization for load frequency control,” Proc. Of the 25th Symp. On Electrical Power Engineering, Tainan, Taiwan, pp.827-832, November 2004.
      1. 103.
      2. C. F. Juang, S. J. Ku and H. J. Huang, “Fuzzy Temporal Sequence Processing by A Fuzzified TSK-type Recurrent Fuzzy Network,” Proc. Of IEEE Int. Conf. On Systems, Man, and Cybernetics, Hague, Netherlands, pp.5847-5851, October 2004.
      1. 104.
      2. C. F. Lu and C. F. Juang, “Control of Flexible AC Transmission System by Evolutionary Fuzzy Controller,” Proc. Of IEEE Int. Conf. On Systems, Man, and Cybernetics, Hague, Netherlands, pp.2292-2296, October 2004.
      1. 105.
      2. C. F. Juang and Y. C. Liou, “TSK-Type Recurrent fuzzy network design by the hybrid of genetic algorithm and particle swarm optimization,” Proc. Of IEEE Int. Conf. On Systems, Man, and Cybernetics, Hague, Netherlands, pp.2314-2318, October 2004.
      1. 106.
      2. C. F. Juang and Y. C. Liou, “On the hybrid of genetic algorithm and particle swarm optimization for evolving recurrent neural network,” Proc. Of International Joint Conference On Neural Networks, Budapest, Hungary, pp.2285-2289, July 2004.
      1. 107.
      2. C.F. Juang, J.S. Chen and H. J. Huang, “Temperature control by hardware implemented recurrent fuzzy controller,” Proc. Of IEEE Int. Conf. On Fuzzy Systems,, Budapest, Hungary, pp. 795-799, July 2004.
      1. 108.
      2. C. F. Juang and C. F. Lu, “Power System Load Frequency Control By Evolutionary Fuzzy PI Controller,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, Budapest, Hungary, pp.715-719, July 2004.
      1. 109.
      2. C. F. Juang and C. H. Hsu, “On the design of TSK-type recurrent fuzzy network by particle swarm optimization,” Proc. Of The Joint Conf. On AI, Fuzzy System, and Grey System, Taipei, Taiwan, R.O.C., December 2003.
      1. 110.
      2. C. F. Juang and C. F. Lu, “Combination of on-line clustering and Q-value based genetic reinforcement learning for fuzzy network design,” Proc. Of International Joint Conference On Neural Networks, Oregon, USA, pp. 1885-1890, July 2003.
      1. 111.
      2. C. F. Juang, “Q-value based genetic reinforcement learning for fuzzy controller design,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, MO, USA, pp. 185-189, May 2003.
      1. 112.
      2. C. F. Juang and J. S. Chen, “A recurrent neural fuzzy network controller for a temperature control system,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, MO, USA, pp.408-413, May 2003.
      1. 113.
      2. F. B. Duh, C. F. Juang, and C. T. Lin, “Application of neural fuzzy network to pulse compression with binary phase code,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, MO, USA, pp. 1389-1394, May 2003.
      1. 114.
      2. F. B. Duh, C. F. Juang, and C. T. Lin, “Neural fuzzy network for radar pulse compression,” Proc. Of the 10th National Conf. On Fuzzy Theory And Its Applications, Hsinchu, Taiwan, December 2002.
      1. 115.
      2. C. F. Juang and S. J. Ku, “Temporal sequence recognition by a prediction-based recurrent neural fuzzy network,” Proc. Of the 10th National Conf. On Fuzzy Theory And Its Applications, Hsinchu, Taiwan, December 2002.
      1. 116.
      2. C. F. Juang, “A Genetic algorithm with two iterative searching stages for fuzzy controller design,” Proc. Of the 4th Asian Control Conf., Singapore, pp.353-357, September 2002.
      1. 117.
      2. C. F. Juang, “Recurrent fuzzy controller design by two-stage genetic algorithm with local and global mapping searches,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, Hawaiian, USA, pp.1228-1233, May 2002.
      1. 118.
      2. C. F. Juang and Chun-Feng Lu, “Power system load frequency control with fuzzy gain scheduling designed by new genetic algorithms,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, Hawaiian, USA, pp. 64-68, May 2002.
      1. 119.
      2. C. F. Juang, “A special Takagi-Sugeno fuzzy network building approach to unknown plant modeling and control,” Proc. Of 2002 Chinese Automatic Control Conference, Tainan, Taiwan, pp.163-167, March 2002.
      1. 120.
      2. C. F. Juang and Y. C. Liou, “A TSK-type recurrent fuzzy network for dynamic systems processing via supervised and reinforcement learning,” Proc. Of IEEE Int. Conf. On Fuzzy Systems, Melbourne, Australia, pp.240-243, December 2001.
      1. 121.
      2. C. F. Juang, “Construction of dynamic fuzzy if-then rules through genetic reinforcement learning for temporal problems solving,” Proceeding of joint 9th IFSA World Congress and 20th NAFIPS Int. Conf, Vancouver, Canada, pp.2341-2346, July 2001.
      1. 122.
      2. C. F. Juang and C. T. Lin, “Genetic reinforcement learning through symbiotic evolution for fuzzy controller design,” Proc. Of IEEE Int. Conf. on Fuzzy Systems, Anchorage, AK, USA, pp.1281-1285, January 1998.
      1. 123.
      2. C. F. Juang and C. T. Lin, “A neural fuzzy network and its application to rapid thermal processing system control,” Proc. of 1997 Chinese Automatic Control Symposium, Taipei, Taiwan, pp.689-694, March 1997.
      1. 124.
      2. C. F. Juang and C. T. Lin, “A recurrent self-organizing neural fuzzy inference network,” Proc. Of IEEE Int. Conf. on Fuzzy Systems, Barcelona, Spain, pp.1369-1374, January 1997.
      1. 125.
      2. C. T. Lin and C. F. Juang, “An adaptive neural fuzzy filter and its applications,” Proc. IEEE Int. Conf. on Fuzzy Systems, New Orleans, LA, pp. 364-369, January 1996.
      1. 126.
      2. C. T. Lin, C. F. Juang, and C.P. Li, “Temperature control with a neural fuzzy inference network,” Asian Fuzzy Systems Symposium, Taiwan, R. O. C, pp.91-96, January 1996.
    3. C.專書
      1. 1.
      2. M. A. Chaurasia and C. F. Juang (Eds.), “Emerging IT/ICT and AI Technologies affecting Society ,” Springer Nature (ISBN 978-981-19-2939-7), August 2022.
      1. 2.
      2. 吳明峰、吳杰亮、沈祖望、林世永、莊家峰、溫志煜, “臨床創新:從點子到創新具體化的第一本書,” 五南出版社 (ISBN:9786263172555), pp.1-280, November 2021.
    4. D.技術報告
      1. 1.
      2. 方輔菘、莊家峰, “應用模糊類神經網路於火力電廠鍋爐汽鼓水位之估測,” 台電工程月刊, 第767 期, pp.1-11, July 2012.
    5. E.專利
      1. 1.
      2. 莊家峰、溫志煜、吳明峰、黃偉彰、張開明, “以腰圍與身體質量指數預測睡眠陽壓呼吸器最適壓力的方法,” 中華民國專利,發明第I768577號, June 2022.
      1. 2.
      2. 吳明峰、莊家峰、黃偉彰、溫志煜、張開明, “快速評估中重度睡眠呼吸中止之方法,” 中華民國專利,發明第I642025號, November 2018.
    6. F.專書章節
      1. 1.
      2. C. F. Juang and W. S. Chen, “Inspection of Lead Frame Defects Using Deep CNN and Cycle-consistent GAN-based Defect Augmentation,” Generative Adversarial Learning: Architectures and Applications, R. Razavi-Far, A. Ruiz-Garcia, V. Palade, and J. Schmidhuber (Editor),, Chap. 9, Springer, Cham., pp.185-203, January 2022.
      1. 2.
      2. C. F. Juang, Y. C. Chang, and I. F. Chung, “Optimization of Recurrent Neural Networks Using Evolutionary Group-based Particle Swarm Optimization for Hexapod Robot Gait Generation,” Hybrid Metaheuristics: Research and Applications, S. Bhattacharyya (Editor), Chap. 9, World Scientific Publishing Co. Pte. Ltd., Singapore, pp.227-256, December 2018.
      1. 3.
      2. C. F. Juang and G. C. Chen, “Fuzzy Classifiers Learned Through SVMs With Application to Specific Object Detection and Shape Extraction Using an RGB-D Camera,” Computational Intelligence for Pattern Recognition, W. Pedrycz and S. M. Chen (Editors), Springer, Cham,, pp.253-274, January 2018.
      1. 4.
      2. C. C. Tsai, K. S. Hwang, A. Liu, and C. F. Juang, “Advances and Challenges on Intelligent Learning in Control Systems,” Contemporary Issues in Systems Science and Engineering, Chap. 6, IEEE and Wiley , pp.243-264, March 2015.
      1. 5.
      2. 莊家峰、蔡清池, “當AI遇到I-Robot -智慧型機器人,” 3C科技與生活,冠唐國際圖書公司, Chap. 11 , pp.243-266, August 2010.
      1. 6.
      2. C. F. Juang, “Combination of Particle Swarm and Ant Colony Optimization Algorithms for Fuzzy Systems Design,” Fuzzy Systems, A. T. Azar (Editor), Chap. 11, I-Tech Education and Publishing, Austria, EU, pp.195-208, February 2010.
      1. 7.
      2. C. F. Juang, “Ant Colony Optimization for Fuzzy System Parameter Optimization: From Discrete to Continuous Spaces,” Applications of Swarm Intelligence, Louis P. Walters (Editor), Chap. 7, Nova Science Publishers, NY, USA, January 2010.
      1. 8.
      2. C. F. Juang and I. F. Chung, “Symbiotic Evolution Genetic Algorithms for Reinforcement Fuzzy Systems Design ,” Advances in Evolutionary Algorithms, V. Kordic (Editor), Chap. 8, I-Tech Education and Publishing, Austria, EU., pp. 401-420, January 2008.
      1. 9.
      2. C. F. Juang, “Recurrent Neural Fuzzy Network Techniques and Applications,” Intelligent Systems: Techniques and Applications, Vol. II, Chap. 2, pp. 21-44, C. T. Leondes (editor), CRC Press, January 2002.
      1. 10.
      2. C. F. Juang, H. W. Nein, and C. T. Lin, “Techniques and Applications of Integrated Neural Network-Based Fuzzy Logic Control Systems,” Fuzzy Theory Systems: Techniques and Applications, Vol. 3, C. T. Leondes (editor), Academic Press, pp.265-1298, January 1999.
 
返回