Parallel Architectures for Artificial Neural Networks (Hardcover)

N. Sundararajan

ISBN 10: 0818683996 / ISBN 13: 9780818683992

Edité par IEEE Computer Society Press,U.S., Los Alamitos, CA, 1998

A propos de cet article

Hardcover. 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. Presents the parallel implementation aspects of all major artificial network models. The text details implementations on various processor architectures built on different hardware platforms, ranging from large parallel computers to MIMD machines using transputers and DSPs. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N° de réf. du vendeur 9780818683992

Détails bibliographiques

• Titre: Parallel Architectures for Artificial Neural Networks (Hardcover)
• Éditeur: IEEE Computer Society Press,U.S., Los Alamitos, CA
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 0818683996
• ISBN à 13 chiffres: 9780818683992
• Reliure: Hardcover
• Édition: Edition originale
• État 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.

À 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.