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A hybrid genetic algorithm for supervised inductive learning
Authors:Liu Juan  Li Weihua
Affiliation:1. Department of Computer Science, Wuhan University, 430072, Wuhan, Hubei, P.R. China
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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