| 當期課號 |
7412 |
Course Number |
7412 |
| 授課教師 |
林正堅 |
Instructor |
LIN,CHENG JIAN |
| 中文課名 |
類神經網路 |
Course Name |
Neural Networks and Its Applications |
| 開課單位 |
資訊工程系碩士班一A |
Department |
|
| 修習別 |
選修 |
Required/Elective |
Elective |
| 學分數 |
3 |
Credits |
3 |
| 課程目標 |
Fundamental concepts and models of artificial neural systems
Single-layer perception classifiers
Multilayer feedforward networks
Associative memories
Matching and self-organizing networks
Applications of neural algorithms and systems
Neural networks implementation |
Objectives |
Fundamental concepts and models of artificial neural systems
Single-layer perception classifiers
Multilayer feedforward networks
Associative memories
Matching and self-organizing networks
Applications of neural algorithms and systems
Neural networks implementation |
| 教材 |
教科書:
M. T. Hagan, H. B. Demuth, Neural Network Design, Thomson Learning, 1996. (新月圖書代理)
參考書:
C. T. Lin and C. S. George Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, Prentice Hall, 1996. (高立圖書代理) |
Teaching Materials |
教科書:
M. T. Hagan, H. B. Demuth, Neural Network Design, Thomson Learning, 1996. (新月圖書代理)
參考書:
C. T. Lin and C. S. George Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, Prentice Hall, 1996. (高立圖書代理) |
| 成績評量方式 |
1.期中考 (40﹪)
2.作業 (30﹪)
3.論文報告一篇(30﹪)
(限發表於IEL or SDOS且Jan. 1, 2000以後刊登) |
Grading |
1.midterm(40%)
2. Homework(30%)
3.Presentation(30%) |
| 教師網頁 |
|
| 教學內容 |
Introduction
Perceptron
Widrow-Hoff Learning
Backpropagation
Associative Learning
Competitive Networks
Adaptive Resonance Theory(ART)
Hopfield Network
Recurrent Neural Networks
Genetic Algorithm
Neural Fuzzy Networks |
Syllabus |
Introduction
Perceptron
Widrow-Hoff Learning
Backpropagation
Associative Learning
Competitive Networks
Adaptive Resonance Theory (ART)
Hopfield Network
Recurrent Neural Networks
Genetic Algorithm
Neural Fuzzy Networks |