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Sep 1992
ISBN 0262531135
314 pp.
30 illus.
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Naturally Intelligent Systems
Maureen Caudill and Charles Butler

For centuries, people have been fascinated by the possibility of building an artificial system that behaves intelligently. Now there is a new entry in this arena -- neural networks. Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It provides a technically accurate, yet down-to-earth discussion of neural networks, clearly explaining the underlying concepts of key neural network designs, how they are trained, and why they work. Throughout, the authors present actual applications that illustrate neural networks' utility in the new world.

This lighthearted book, which offers plenty of mathematical reasoning but not one equation, is a timely witness to the rise of a new and already flourishing discipline.... A superb nontechnical introduction to the tantalizing prospect of machine-based intelligence."
-- Philip Morrison, Scientific American

Maureen Caudill is a consultant based in San Diego, and author of the popular "Neural Network Primer" articles in AI Expert. Charles Butler is a Principal Research Scientist at Physical Sciences Inc. in Alexandria, Virginia.

Table of Contents
 Acknowledgments
1 Natural Intelligence
2 Building Blocks of Neural Networks
3 Neural Networks and Other System
4 Associative Memories
5 Crossbar Associative Memories
6 Adaptive Filter Associative Memories
7 Competitive Filter Associative Memories
8 Learning
9 Hebbian Learning
10 Classical, Conditioning
11 Learning Sequences of Patterns
12 Autonomous Learning
13 Hierarchical Systems
14 Backpropagation Networks
15 Hybrid Networks
16 Adaptive Resonance Networks
17 Neural Network Implementations
18 Neural Network
19 A Look Ahead
 Glossary
 Index
 
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