ÍndicePrinciples of Artificial Neural Networks - 2ed. ♦ Daniel Graupe
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Principles of Artificial Neural Networks - 2ed. ♦ Daniel Graupe
Manfenix Jue Mar 29, 2012 10:50 am
Table of Contents
1. Introduction and Role of Arti cial Neural Networks
2. Fundamentals of Biological Neural Networks
3. Basic Principles of ANNs and Their Early Structures
4. The Perceptron
5. The Madaline
6. Back Propagation
7. Hop eld Networks
8. Counter Propagation
9. Adaptive Resonance Theory
10. The Cognitron and the Neocognitron
11. Statistical Training
12. Recurrent (Time Cycling) Back Propagation Networks
13. Large Scale Memory Storage and Retrieval (LAMSTAR) Network
Problems
References
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