Naturally Intelligent Systems

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MIT Press, 1990 - Всего страниц: 304

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.

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Содержание

Natural Intelligence
3
Building Blocks of Neural Networks
13
Neural Networks and Other Systems
25
Part II
35
Crossbar Associative Memories
49
Adaptive Filter Associative Memories
65
The Vectorcardiograph
81
The Voice Typewriter
105
Learning Sequences of Patterns
141
Autonomous Learning
151
The Perceptron
163
Part IV
169
Backpropagation Networks
183
NETtalk
197
Adaptive Resonance Networks
207
Part V
223

Part III
111
Hebbian Learning
123
Classical Conditioning
129
Neural Network Applications
241
A Look Ahead
261
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Об авторе (1990)

Maureen Caudill is President of Adaptics, a neural network consulting company in San Diego, and author of the popular "Neural Network Primer" articles that appear regularly in AI Expert. Charles Butler is a Senior Principal Scientist at Physical Sciences in Alexandria, Virginia. He is a specialist in neural network application development.

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