Parallel Implementations of Backpropagation Neural Networks on Transputers

Parallel Implementations of Backpropagation Neural Networks on Transputers

A Study of Training Set Parallelism

eBook - 1996
Rate this:
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.
Publisher: Singapore ; River Edge, NJ : World Scientific, Ă1996
ISBN: 9789812814968
9812814965
9810226543
9789810226541
Characteristics: 1 online resource (xviii, 202 pages)
Additional Contributors: Sundararajan, N.
Foo, Shou King

Opinion

From the critics


Community Activity

Comment

Add a Comment

There are no comments for this title yet.

Age Suitability

Add Age Suitability

There are no age suitabilities for this title yet.

Summary

Add a Summary

There are no summaries for this title yet.

Notices

Add Notices

There are no notices for this title yet.

Quotes

Add a Quote

There are no quotes for this title yet.

Explore Further

Subject Headings

  Loading...

Find it at NPL

  Loading...
[]
[]
To Top