Article ID: | iaor19962225 |
Country: | United Kingdom |
Volume: | 23 |
Issue: | 6 |
Start Page Number: | 535 |
End Page Number: | 546 |
Publication Date: | Jun 1996 |
Journal: | Computers and Operations Research |
Authors: | Ignizio James P. |
Keywords: | heuristics, artificial intelligence |
The use of neural networks in pattern classification is a relatively recent phenomena. In some instances the nonparametric neural network approach has demonstrated significant advantages over more conventional methods. However, certain of the drawbacks of neural networks have led to interest in the augmentation of the neural network approach with such supporting tools as genetic algorithms (e.g. in support of neural network training). In this paper, the authors take yet a further step. Specifically, they present an approach for the