Fundamentals of Neural Networks: Architectures, Algorithms And Applications: United States Edition

Laurene V. Fausett

ISBN 10: 0133341860 / ISBN 13: 9780133341867

Editore: Prentice Hall, 1994

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us ed edition. 461 pages. 9.75x7.50x1.00 inches. In Stock. Codice articolo 0133341860

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Titolo: Fundamentals of Neural Networks: ...

Casa editrice: Prentice Hall

Data di pubblicazione: 1994

Legatura: Paperback

Condizione: Brand New

Descrizione articolo

Riassunto:

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.

Product Description:

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.