Parallel Implementations of Backpropagation Neural Networks on Transputers
Title | Parallel Implementations of Backpropagation Neural Networks on Transputers PDF eBook |
Author | P. Saratchandran |
Publisher | World Scientific |
Pages | 228 |
Release | 1996 |
Genre | Computers |
ISBN | 9789810226541 |
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.
Training Set Parallel Implementations and Analysis of Backpropagation Neural Networks in a Transputer Array
Title | Training Set Parallel Implementations and Analysis of Backpropagation Neural Networks in a Transputer Array PDF eBook |
Author | Shou King Foo |
Publisher | |
Pages | 145 |
Release | 1994 |
Genre | |
ISBN |
Parallel Implementations Of Backpropagation Neural Networks On Transputers: A Study Of Training Set Parallelism
Title | Parallel Implementations Of Backpropagation Neural Networks On Transputers: A Study Of Training Set Parallelism PDF eBook |
Author | P Saratchandran |
Publisher | World Scientific |
Pages | 222 |
Release | 1996-07-04 |
Genre | Computers |
ISBN | 9814498998 |
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.
Parallel Architectures for Artificial Neural Networks
Title | Parallel Architectures for Artificial Neural Networks PDF eBook |
Author | N. Sundararajan |
Publisher | Wiley-IEEE Computer Society Press |
Pages | 424 |
Release | 1998-12-14 |
Genre | Computers |
ISBN |
An excellent reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks details implementations on various processor architectures built on different hardware platforms, ranging from large, general purpose parallel computers to custom built MIMD machine. Working experts describe their implementation research including results that are then divided into three sections: The theoretical analysis of parallel implementation schemes on MIMD message passing machines The details of parallel implementation of BP neural networks on general purpose, large, parallel computers Four specific purpose parallel neural computer configuration Aimed at graduate students and researchers working in artificial neural networks and parallel computing this work can be used by graduate level educators to illustrate parallel computing methods for ANN simulation. Practitioners will also find the text an ideal reference tool for lucid mathematical analyses.
World Congress on Neural Networks
Title | World Congress on Neural Networks PDF eBook |
Author | Paul Werbos |
Publisher | Routledge |
Pages | 860 |
Release | 2021-09-09 |
Genre | Psychology |
ISBN | 1317713427 |
Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and applications in the neural network field.
Neural Network PC Tools
Title | Neural Network PC Tools PDF eBook |
Author | Russell C. Eberhart |
Publisher | Academic Press |
Pages | 431 |
Release | 2014-06-28 |
Genre | Computers |
ISBN | 1483297004 |
This is the first practical guide that enables you to actually work with artificial neural networks on your personal computer. It provides basic information on neural networks, as well as the following special features:source code listings in C**actual case studies in a wide range of applications, including radar signal detection, stock market prediction, musical composition, ship pattern recognition, and biopotential waveform classification**CASE tools for neural networks and hybrid expert system/neural networks**practical hints and suggestions on when and how to use neural network tools to solve real-world problems.
The 1994 IEEE International Conference on Neural Networks
Title | The 1994 IEEE International Conference on Neural Networks PDF eBook |
Author | |
Publisher | |
Pages | 832 |
Release | 1994 |
Genre | Neural computers |
ISBN |