Course Syllabus

Course Information：

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

Spring Semester
Year 2024 331289 Application of Intelligent Controller 1 3.0 3 ★ JIN-SIANG SHAW GME
GMT
IMMA
DME
機電外國學生專班 38 3 製科所必選課程之一/機電所、製科所和機電博(含外)合

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2024	331289	Application of Intelligent Controller	1	3.0	3	★	JIN-SIANG SHAW	GME GMT IMMA DME 機電外國學生專班	38	3	製科所必選課程之一/機電所、製科所和機電博(含外)合

Course Plan：

Instructor JIN-SIANG SHAW　Office Hours

Email jshaw@ntut.edu.tw

Last Updated 2024-05-17 14:19:43

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 and PSO. 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 office hour 4 hr
email: jshaw@ntut.edu.tw
Phone: # 2046

The course corresponds to the SDGs

Note
第17, 18週仍為實體教學有疑問請洽 jshaw@ntut.edu.tw

Instructor	JIN-SIANG SHAW　Office Hours
Email	jshaw@ntut.edu.tw
Last Updated	2024-05-17 14:19:43
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 and PSO. 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	office hour 4 hr email: jshaw@ntut.edu.tw Phone: # 2046
The course corresponds to the SDGs
Note	第17, 18週仍為實體教學有疑問請洽 jshaw@ntut.edu.tw