2001 Fall NTOU CS

類神經網路導論課程簡介

系所	資訊科學系	4 年級
課號 / 班別	B5704V9A / A	3 學分
科目中文名稱	類神經網路導論
科目英文名稱	Introduction to Artificial Neural Networks
授課時數	3 小時	選修
教師姓名	丁培毅

課程時間/教室

星期一：9:20-12:05 / INSB14

先修課程

線性代數

教科書與參考書

Neural Network Design, Hagan, Demuth, and Beale, PWS publishing company, 1995
Neural Networks: A comprehensive Foundation, Simon Haykin, 2nd Ed., Prentice Hall, 1999
Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, J.-S. R. Jang, C.-T. Sun, and E. Mizutani, Prentice Hall, 1997
Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent System, C.-T. Len and C.S. Lee, Prentice Hall, 1999
Principles of Neurocomputing for Science & Engineering, Fredric M. Ham an dIvica Kostanic, McGraw-Hill, 2001
Advanced Algorithms for Neural Networks: A C++ SourceBook, Timothy Masters, Wiley, 1995
Matrix Theory, Ortega, Plenum, 1987
Linear and Nonlinear Programming, David Luenberger, Addison Wesley, 1984.

課程目標與簡介

了解類神經網路之運作原理、設計方法、及應用，運用 MATLAB 撰寫學習法則及應用系統

課程內容綱要


1. Introduction
2. Neuron Model and Network Architectures
3. Perceptron Learning Rule
4. Vector Space and Linear Transformation
5. Hebbian Learning
6. Performance Optimization
7. Widrow-Hoff Learning
8. Backpropagation
9. Associative Learning
10. Competitive Networks
11. Grossberg network
12. Adaptive Resonance Theory
13. Hopfield Network

授課時程

課程要求

作業 30%
期中考 30%
期末考 40%

回類神經網路課程首頁

製作日期: 5/30/2001 by 丁培毅 (Pei-yih Ting)
E-mail: pyting@cs.ntou.edu.tw TEL: 02 24622192x6615
海洋大學理工學院資訊科學系 Lagoon