Genetic algorithms enhanced Kohonen's neural networks

Shyh Jier Huang, Chuan Chang Hung

Research output: Contribution to conferencePaperpeer-review

8 Citations (Scopus)

Abstract

A new approach of using genetic algorithms to improve the learning characteristics of Kohonen's neural networks is proposed in this paper. In the proposed scheme, genetic algorithms are applied to decide initial weights in the Kohonen's classifiers. The competitive learning is then applied to train neural networks. The proposed method was tested on the power system static security assessment and travelling salesperson problems. The results were very promising to applications.

Original languageEnglish
Pages708-712
Number of pages5
Publication statusPublished - 1995 Dec 1
EventProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
Duration: 1995 Nov 271995 Dec 1

Other

OtherProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
CityPerth, Aust
Period95-11-2795-12-01

All Science Journal Classification (ASJC) codes

  • Software

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