New rule generation method from neural networks formed using a genetic algorithm with virus infection

Minoru Fukumi, Yasue Mitsukura, Norio Akamatsu

研究成果: Paper査読

2 被引用数 (Scopus)

抄録

In this paper a new rule generation method from neural networks is presented. A neural network (NN) is formed using a genetic algorithm (GA) with virus infection and deterministic mutation to represent regularities in training data. This method utilizes a modular structure in GA. Each module learns a different neural network architecture, such as sigmoid and a high order neural networks. Those information is communicated to the other modules by the virus infection. The results of computer simulations show that this approach can generate obvious network structures and as a result simple rules.

本文言語English
ページ413-418
ページ数6
出版ステータスPublished - 2000 1月 1
外部発表はい
イベントInternational Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy
継続期間: 2000 7月 242000 7月 27

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'2000)
CityComo, Italy
Period00/7/2400/7/27

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

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