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

Minoru Fukumi, Yasue Mitsukura, Norio Akamatsu

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages413-418
Number of pages6
Publication statusPublished - 2000 Jan 1
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy
Duration: 2000 Jul 242000 Jul 27

Other

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

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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    Fukumi, M., Mitsukura, Y., & Akamatsu, N. (2000). New rule generation method from neural networks formed using a genetic algorithm with virus infection. 413-418. Paper presented at International Joint Conference on Neural Networks (IJCNN'2000), Como, Italy, .