A Learning Machine That Evolves

Abstract

We propose a simple model of a learning machine that evolves. When a classification 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.

Publication
Proceedings of 1995 IEEE International Conference on Evolutionary Computing (ICEC'95)

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