Parallel Implementation of Backpropagation Neural Networks on Transputers: A Study of Training Set Parellelism: 3

Parallel Implementation of Backpropagation Neural Networks on Transputers: A Study of Training Set Parellelism: 3 book cover

Parallel Implementation of Backpropagation Neural Networks on Transputers: A Study of Training Set Parellelism: 3

Author(s): P Saratchandran (Author), Shou King Foo (Author), Narasimman Sundararajan (Author)

  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication Date: 31 July 1996
  • Language: English
  • Print length: 220 pages
  • ISBN-10: 9810226543
  • ISBN-13: 9789810226541

Book Description

This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several well known benchmark problems. Use of genetic algorithms for optimizing the performance of the parallel implementations is described. Guidelines for efficient parallel implementations are highlighted.

View on Amazon

电子书代发PDF格式价格30我要求助
未经允许不得转载:Wow! eBook » Parallel Implementation of Backpropagation Neural Networks on Transputers: A Study of Training Set Parellelism: 3