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Comparing backpropagation with a genetic algorithm for neural network training

This article shows that the use of a genetic algorithm can provide better results for training a feedforward neural network than the traditional techniques of backpropagation. Using a chaotic time series as an illustration, we directly compare the genetic algorithm and backpropagation for effectiveness, ease-of-use, and efficiency for training neural networks.
Year of publication:
1999
Authors: Gupta, Jatinder N. D. ; Sexton, Randall S.
Published in:
Omega. - Elsevier, ISSN 0305-0483. - Vol. 27.1999, 6, p. 679-684
Publisher: Elsevier
Keywords: Neural networks Backpropagation Genetic algorithm Empirical results
Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10005358095
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