Solving Logical Computing Problems Based on Neural Network Evolution
Nianmin Yao · Computer Technology and Development · 2010
Genetic algorithm can effectively solve many complex problems through optimized searching.This paper tried to search the proper neural network structure which could solve the problem by simulating the evolution process of nature using genetic algorithm.Through building a self-evolution system,the proper structure of the neural network that can accomplish logical computations may be found by beginning with a single neuron and then self-evolution.The experimental results indicate that genetic algorithm can help finding a better structure of neural networks than only standard BP network.