Parallel Architectures for Artificial Neural Networks by N Sundararajan

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Parallel Architectures for Artificial Neural Networks by N Sundararajan

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.

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

SKU Unavailable
ISBN 13 9780818683992
ISBN 10 0818683996
Title Parallel Architectures for Artificial Neural Networks
Author N Sundararajan
Series Systems
Condition Unavailable
Binding Type Hardback
Publisher IEEE Computer Society Press,U.S.
Year published 1998-11-30
Number of pages 412
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.