A Learning Machine That Evolves

نویسندگان

  • Kaoru NAKANO
  • Hideaki HIRAKI
  • Shiro IKEDA
چکیده

In this article we propose a simple model of a learning machine that evolves. When a classi cation problem is given, a Perceptron-like learning machine obtains a proper set of feature-detecting cells through mating, mutation, and natural selection. Computer simulation showed the expected results. This is one of our trials to approach the evolutionary system in the real world.

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تاریخ انتشار 1995