期刊
COMPUTERS & OPERATIONS RESEARCH
卷 31, 期 4, 页码 481-498出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0305-0548(02)00229-0
关键词
neural networks; discriminant analysis; genetic algorithms
We study the performance of genetic algorithm (GA) based artificial neural network (ANN) for different crossover operators. We use simulated and real life data to test the performance of GA-based ANN. Our results indicate that arithmetic crossover operator may be a suitable crossover operator for GA based ANN.
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