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{ "item_title" : "Parallel Architectures ANNs", "item_author" : [" Sundararajan", "Saratchandran "], "item_description" : "Presents the parallel implementation aspects of all major artificial neural network models in a single text. An excellent reference for all those involved in neural networks research and application. The book details implementations on various 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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/81/868/399/0818683996_b.jpg", "price_data" : { "retail_price" : "143.95", "online_price" : "143.95", "our_price" : "143.95", "club_price" : "143.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Parallel Architectures ANNs|Sundararajan

Parallel Architectures ANNs

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Overview

Presents the parallel implementation aspects of all major artificial neural network models in a single text. An excellent reference for all those involved in neural networks research and application. The book details implementations on various 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.

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Details

  • ISBN-13: 9780818683992
  • ISBN-10: 0818683996
  • Publisher: John Wiley & Sons
  • Publish Date: November 1998
  • Dimensions: 10.39 x 7.3 x 1.09 inches
  • Shipping Weight: 1.95 pounds
  • Page Count: 412

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