| Article ID: | iaor2001463 |
| Country: | United Kingdom |
| Volume: | 27 |
| Issue: | 6 |
| Start Page Number: | 679 |
| End Page Number: | 684 |
| Publication Date: | Dec 1999 |
| Journal: | OMEGA |
| Authors: | Gupta Jatinder N.D., Sexton Randall S. |
| Keywords: | genetic algorithms |
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.