Comparing backpropagation with a genetic algorithm for neural network training

Jatinder N. D. Gupta and Randall S. Sexton

Omega, 1999, vol. 27, issue 6, 679-684

Abstract: 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.

Keywords: Neural; networks; Backpropagation; Genetic; algorithm; Empirical; results (search for similar items in EconPapers)
Date: 1999
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Citations: View citations in EconPapers (10)

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