Rule Learning based on Neural Network Ensemble
نویسندگان
چکیده
Neural network ensemble can significantly improve the generalization ability of neural network based systems. In this paper, a novel rule learning algorithm is proposed, where neural network ensemble acts as a front-end process that generates data for the learning of rules. Experimental results show that the proposed algorithm can generate rules with strong generalization ability.
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تاریخ انتشار 2002