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A Hybrid Genetic Algorithm for Supervised Inductive Learning
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作者 liu Juan li weihua(department of computer science)wuhan university(wuhan,hubei,430072,p.r.china) 《Wuhan University Journal of Natural Sciences》 CAS 1996年第Z1期611-616,共6页
A novel algorithm is presented for supervised inductive learning by integrating a genetic algorithm with hot'tom-up induction process.The hybrid learning algorithm has been implemented in C on a personal computer(... A novel algorithm is presented for supervised inductive learning by integrating a genetic algorithm with hot'tom-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]. 展开更多
关键词 Supervised Inductive Learning Hybrid Genetic Algorithm Concept Learning
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