Fundamentals of Neural Networks: Architectures, Algorithms And Applications

Paperback | December 9, 1993

byLaurene V. Fausett

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Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

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From the Publisher

Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

From the Jacket

Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptiveresonance theory; and more. For professionals working with neural networks.

Format:PaperbackDimensions:461 pages, 8.9 × 6.9 × 1 inPublished:December 9, 1993Publisher:Pearson Education

The following ISBNs are associated with this title:

ISBN - 10:0133341860

ISBN - 13:9780133341867

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Extra Content

Table of Contents



 1. Introduction.


 2. Simple Neural Nets for Pattern Classification.


 3. Pattern Association.


 4. Neural Networks Based on Competition.


 5. Adaptive Resonance Theory.


 6. Backpropagation Neural Net.


 7. A Sampler of Other Neural Nets.


Glossary.


References.


Index.