Titre: Parallel Architectures for Artificial Neural Networks: Paradigms and Implementations (Systems)
�diteur: Wiley-IEEE Computer Society Pr
Date de parution: 1998
Langue: anglais
ISBN � 10 chiffres: 0818683996
ISBN � 13 chiffres: 9780818683992
Reliure: Couverture rigide
�tat de l'article: New

A propos de ce titre

Synopsis

This excellent reference for all those involved in neural networks research and application presents, in a single text, the necessary aspects of parallel implementation for all major artificial neural network models. The book details implementations on varoius processor architectures (ring, torus, etc.) built on different hardware platforms, ranging from large general purpose parallel computers to custom built MIMD machines using transputers and DSPs.

Experts who performed the implementations author the chapters and research results are covered in each chapter. These results are divided into three parts.

Theoretical analysis of parallel implementation schemes on MIMD message passing machines.

Details of parallel implementation of BP neural networks on a general purpose, large, parallel computer.

Four chapters each describing a specific purpose parallel neural computer configuration.

This book is aimed at graduate students and researchers working in artificial neural networks and parallel computing. Graduate level educators can use it to illustrate the methods of parallel computing for ANN simulation. The text is an ideal reference providing lucid mathematical analyses for practitioners in the field.

� propos de l?auteur

N. Sundararajan and P. Saratchandran are the authors of Parallel Architectures for Artificial Neural Networks: Paradigms and Implementations, published by Wiley.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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