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Fundamentals of Neural Networks : Architectures, Algorithms And Applications: United States Edition - Laurene V. Fausett

Fundamentals of Neural Networks

Architectures, Algorithms And Applications: United States Edition

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An exceptionally clear, thorough introduction to neural networks written at an elementary level. Written with the beginning student in mind, the text features systematic discussions of all major neural networks and fortifies the reader's understudy with many examples. *Covers all major neural networks. *Shows architectures in a similar format for all nets - illustrating the similarities and differences among them. *Clarifies the differences in the capabilities of the different networks by focusing on simple problems - in many cases variations of a theme. *Presents algorithms in enough detail to facilitate the writing of computer programs. *Gives detailed examples of simple applications. *Provides mathematical development when it provides a guide to proper implementation of a net. *Includes exercises and 25 computer projects.



 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.

ISBN: 9780133341867
ISBN-10: 0133341860
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 480
Published: 19th December 1993
Country of Publication: US
Dimensions (cm): 23.04 x 17.88  x 2.57
Weight (kg): 0.75
Edition Number: 1