%0 Journal Article
%T Extract rules by using rough set and knowledge-based NN<br>Extract Rules by Using Rough Set and Knowledge-Based NN
%A Wang Shitong
%A E Scott
%A A Gamermann
%A <br>Wang Shitong
%A E.Scottand
%A A.Gamermann
%J 计算机科学技术学报
%D 1998
%I 
%X 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 advanages of rough set theory and neural network.
%K Rough set theory
%K knowledge-based NN (neural network)
%K knowledge discovery
%K machine learning<br>神经网络
%K 粗糙集
%K 机器学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=823F7DD82960306836E187B7086135AF&yid=8CAA3A429E3EA654&vid=FC0714F8D2EB605D&iid=38B194292C032A66&sid=69E4C201C13601F9&eid=03E56C113B4E5A88&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=2&reference_num=6