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 |
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課程時間/教室
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先修課程
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教科書與參考書
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Neural Network Design, Hagan, Demuth, and Beale, PWS publishing company, 1995
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Neural Networks: A comprehensive Foundation, Simon Haykin, 2nd Ed., Prentice Hall, 1999
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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
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Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent System, C.-T. Len and C.S. Lee, Prentice Hall, 1999
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Principles of Neurocomputing for Science & Engineering, Fredric M. Ham an dIvica Kostanic, McGraw-Hill, 2001
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Advanced Algorithms for Neural Networks: A C++ SourceBook, Timothy Masters, Wiley, 1995
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Matrix Theory, Ortega, Plenum, 1987
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Linear and Nonlinear Programming, David Luenberger, Addison Wesley, 1984.
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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
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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
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授課時程
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課程要求
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