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Principles of artificial neural networks /

The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural networ...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Graupe, Daniel
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New Jersey : World Scientific, ©2007.
Edición:2nd ed.
Colección:Advanced series on circuits and systems ; v. 6.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strength.
Descripción Física:1 online resource (xv, 303 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 291-297) and indexes.
ISBN:9789812770578
9812770577