A hybrid genetic algorithm for supervised inductive learning |
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Authors: | Liu Juan Li Weihua |
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Affiliation: | 1. Department of Computer Science, Wuhan University, 430072, Wuhan, Hubei, P.R. China
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Abstract: | A novel algorithm is presented for supervised inductive learning by integrating a genetic algorithm with bottom-up induction process. The hybrid learning algorithm has been implemented in C on a personal computer (386DX/40). The performance of the algorithm has been evaluated by applying it to 11-multiplexer problem and the results show that the algorithm's accuracy is higher than the others[5, 12, 13]. |
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