제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Neural network structure design using genetic algorithm

  • Murata, Junichi (Department of Electrical Engineering, Kyushu Univ.) ;
  • Tanaka, Kei (Department of Electrical Engineering, Kyushu Univ.) ;
  • Koga, Masaru (Department of Electrical Engineering, Kyushu Univ.) ;
  • Hirasawa, Kotaro (Department of Electrical Engineering, Kyushu Univ.)
  • Published : 1995.10.01
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Abstract

A method is proposed which searches for optimal structures of Neural Networks (NN) using Genetic Algorithm (GA). The purpose of the method lies in not only finding an optimal NN structure but also leading us to the goal of self-organized control system that acquires its structure and its functionality by itself depending on its environment.

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