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. © 1999 Elsevier Science Ltd. All rights reserved.
Information Technology and Cybersecurity
Backpropagation, Empirical results, Genetic algorithm, Neural networks
Gupta, Jatinder ND, and Randall S. Sexton. "Comparing backpropagation with a genetic algorithm for neural network training." Omega 27, no. 6 (1999): 679-684.