Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2019 259801 Application of Intelligent Controller 1 3.0 3 ★ JIN-SIANG SHAW GME
IMMA 52 2 甲/8選2 綜328-1；機電所與機械自動外生班合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2019	259801	Application of Intelligent Controller	1	3.0	3	★	JIN-SIANG SHAW	GME IMMA	52	2	甲/8選2 綜328-1；機電所與機械自動外生班合開

Course Plan：

Instructor JIN-SIANG SHAW

Email jshaw@ntut.edu.tw

Last Updated 2018-12-23 13:08:39

Course Objective 先修課程:負責教授同意. 1.Introduction to neural network: algorithms, applications, programming techniques. 2. Design and simulation of neural network controller 3. Introduction to fuzzy set, approximate reasoning, fuzzy logic controller 4. Design and simulation of fuzzy logic controller 5. Introduction to genetic algorithm 6. Optimization of controller by genetic algorithm and PSO. 7. Applications of intelligent controller

Course Schedule 1~3: Genetic Algorithm (GA) 4: Particle Swarm Optimization (PSO) 5~7: .Fuzzy Logic Controller (FLC) 8: Adaptive Fuzzy Sliding Mode Controller (AFSMC) 9:Midterm Exam 10~13: Artificial Neural Network (ANN) 14~16: Pattern Recognition and Classification +Deep Learning 17: Computer Simulation Test 18: Final Exam

Evaluation and grading policy 1.Test (80%) : Midterm, Final Exam, and Computer Simulation test 2. Homework (20%): Matlab/Simulink 3 分數百分比期末視情況得調整 4 Attendance is required.

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. Genetic algorithms in search, optimization and machine learning David E. Goldberg, 1989, Addison Wesley. 2. Neural Fuzzy Systems C.T. Lin (交大) and C.S. George Lee (Purdue University) 3. Handouts, class notes, papers.

The access to curricular consultation

Note
　

Instructor	JIN-SIANG SHAW
Email	jshaw@ntut.edu.tw
Last Updated	2018-12-23 13:08:39
Course Objective	先修課程:負責教授同意. 1.Introduction to neural network: algorithms, applications, programming techniques. 2. Design and simulation of neural network controller 3. Introduction to fuzzy set, approximate reasoning, fuzzy logic controller 4. Design and simulation of fuzzy logic controller 5. Introduction to genetic algorithm 6. Optimization of controller by genetic algorithm and PSO. 7. Applications of intelligent controller
Course Schedule	1~3: Genetic Algorithm (GA) 4: Particle Swarm Optimization (PSO) 5~7: .Fuzzy Logic Controller (FLC) 8: Adaptive Fuzzy Sliding Mode Controller (AFSMC) 9:Midterm Exam 10~13: Artificial Neural Network (ANN) 14~16: Pattern Recognition and Classification +Deep Learning 17: Computer Simulation Test 18: Final Exam
Evaluation and grading policy	1.Test (80%) : Midterm, Final Exam, and Computer Simulation test 2. Homework (20%): Matlab/Simulink 3 分數百分比期末視情況得調整 4 Attendance is required.
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Genetic algorithms in search, optimization and machine learning David E. Goldberg, 1989, Addison Wesley. 2. Neural Fuzzy Systems C.T. Lin (交大) and C.S. George Lee (Purdue University) 3. Handouts, class notes, papers.
The access to curricular consultation
Note