Journal
COMPUTERS & OPERATIONS RESEARCH
Volume 31, Issue 4, Pages 481-498Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0305-0548(02)00229-0
Keywords
neural networks; discriminant analysis; genetic algorithms
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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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