Title
Comparing backpropagation with a genetic algorithm for neural network training
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. © 1999 Elsevier Science Ltd. All rights reserved.
Department(s)
Information Technology and Cybersecurity
Document Type
Article
DOI
https://doi.org/10.1016/S0305-0483(99)00027-4
Keywords
Backpropagation, Empirical results, Genetic algorithm, Neural networks
Publication Date
12-1-1999
Recommended Citation
Gupta, Jatinder ND, and Randall S. Sexton. "Comparing backpropagation with a genetic algorithm for neural network training." Omega 27, no. 6 (1999): 679-684.
Journal Title
Omega
