課程資訊
課程名稱
智慧型控制
Intelligent Control 
開課學期
106-2 
授課對象
工學院  機械工程學研究所  
授課教師
黃漢邦 
課號
ME7144 
課程識別碼
522 M3960 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期一2,3,4(9:10~12:10) 
上課地點
工綜205 
備註
總人數上限:40人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1062ME7144_IC 
課程簡介影片
 
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課程概述

介紹智慧型控制的基本概念、模糊邏輯系統、類神經網路、模糊神經控制、神經模糊控制及機器學習法則等等。使同學對於智慧型控制有一完整的認識,並能進行實際的智慧型控制的設計與應用。 

課程目標
This course is aimed to introduce intelligent control algorithms and applications. Fuzzy logic control, neural network control, fuzzy-neural system, neural-fuzzy system, and machine learning algorithms will be discussed in the course. It will enable students to understand and apply intelligent control concept and algorithms. 
課程要求
Students are encouraged to take the courses on "Linear Algebra" and "Automatic Control" before taking this course. 
預期每週課後學習時數
 
Office Hours
每週一 13:00~15:00 
指定閱讀
Class notes 
參考書目
1. Ian Goodfellow and Yoshua Bengio and Aaron Courville, Deep Learning. Boston: MIT Press, November, 2016.
2. Tom Mitchell, Machine Learning, New York: McGraw Hill, 1997. (with new chapters)
3. John Paul Mueller,‎ Luca Massaron, Machine Learning For Dummies, May 31, 2016.
4. John D. Kelleher, Brian Mac Namee, Aoife D’arcy, Fundamentals of Machine Learning for Predictive Data Analytics, Boston: MIT Press, 2015.
5. Tariq Rashid, Make Your Own Neural Network, CreateSpace Independent Publishing Platform, 2016.
6. C.T. Lin, C.S.G. Lee, Neural Fuzzy Systems. Englewood Cliffs, N.J.: Prentice-Hall, 1996.
7. J.S.R. Jang, C.T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing. Englewood Cliffs, N.J.: Prentice-Hall, 1997.
8. H. Li, C.L.P. Chen, H.P. Huang, Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Applications in Engineering, Boca Raton: CRC Press, 2001.
9. G.J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty, and Information. Englewood Cliffs, N.J.: Prentice-Hall, 1988.
10. B. Kosko, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach To Machine Intelligence. Englewood Cliffs, N.J.: Prentice-Hall, 1992.
11. K. Cios, W. Pedrycz, R. Swiniarski, Data Mining Methods for Knowledge Discovery. Boston: Kluwer Academic Publishers, 1998.
12. K.M. Passino, S. Yurkovich, Fuzzy Control. Reading, Massachusetts: Addison-Wesley, 1998.
13. W. Pedrycz, Fuzzy Control and Fuzzy Systems. New York: John Wiley & Sons, 1989.
14. R.R. Yager (ed.), Fuzzy Set and Possibility Theory. Oxford: Pergamon Press, 1982.
15. H.J. Zimmermann, Fuzzy Set Theory and Its Applications. 2nd edition, Boston: Kluwer Academic Publishers, 1991.
16. J.A. Freeman and D.M. Skapura, Neural Networks: Algorithms, Applications, and Programming Techniques. Reading, Massachusetts: Addision-Weslsy Publishing, 1991.
17. S. Grossberg and M. Kuperstein, Neural Dynamics of Adaptive Sensory-Motor Control. Oxford: Pergamon Press, 1989.
18. S. Grossberg (ed.), The Adaptive Brain I & II. Amsterdam:North-Holland, 1987.
19. T. Kohonen, Self-Organization and Associate Memory. 2nd edition, Berlin: Springer-Verlag, 1988.
20. B. Kosko, Neural Networks for Signal Processing. Englewood Cliffs,: Prentice-Hall, 1992.
21. P.K. Simpson, Artificial Neural Systems. Oxford: Pergamon Press, 1990.
22. W.T. Miller III, R.S. Sutton, and P.J. Werbos, (ed.), Neural Networks for Control. Cambridge, Massachusetts: The MIT Press, 1990.
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
HW, Paper reading and report 
40% 
 
2. 
Midterm Project 
30% 
 
3. 
Final Term Project 
30% 
 
 
課程進度
週次
日期
單元主題
第1週
2/26  Introduction to intelligent control/ AI 
第2週
3/05  Introduction to neural networks and fuzzy systems 
第3週
3/12  Neural Networks 
第4週
3/19  Supervised learning 
第5週
3/26  Single-layer feedback neural networks 
第6週
4/02  清明節放假 
第7週
4/09  Unsupervised learning 
第8週
4/16  Unsupervised learning 
第9週
4/23  Deep Learning (DNN, CNN) 
第10週
4/30  Neural Network Controller and Applications 
第11週
5/07  Midterm Project Presentation 
第12週
5/14  Fuzzy set theory 
第13週
5/21  Fuzzy relation 
第14週
5/28  Fuzzy inference 
第15週
6/04  Fuzzy Control System 
第16週
6/11  Fuzzy Controller Design and Neural Fuzzy System 
第17週
6/18  端午節放假 
第18週
6/25  Term Project Presentation