Training set parallel implementations and analysis of backpropagation neural networks in a transputer array
Author
Foo, Shou King.
Date of Issue
1994School
School of Electrical and Electronic Engineering
Abstract
This thesis presents a detailed study of the parallel implementations of backpropagation neural networks for reducing the training time. There are mainly two paradigms in the parallel implementations, namely, network based parallelism and training set parallelism. This study emphasises training set parallelism.
Subject
DRNTU::Engineering::Electrical and electronic engineering
Type
Thesis
Rights
NANYANG TECHNOLOGICAL UNIVERSITY
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