摘要：In this paper,rough set theory is used to extract roughly-correct inference rules from information systems.Based on this idea,the learning algorithm ERCR is presented.In order to refine the learned roughly-correct inference rules,the knowledge-based neural network is used.The method presented here sufficiently combines the advantages of rough set theory and neural network.

原文链接:http://www.cqvip.com//QK/85226X/199803/6794847.html

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