%0 Journal Article
%T Rule Extraction:Using Neural Networks or for Neural Networks?<br>Rule Extraction: Using Neural Networks or for Neural Networks?
%A Zhi-Hua Zhou
%A <br>Zhi-HuaZhou
%J 计算机科学技术学报
%D 2004
%I 
%X In the research of rule extraction from neural networks, fidelity describes how well the rules mimic the behavior of a neural network while accuracy describes how well the rules can be generalized. This paper identifies the fidelity-accuracy dilemma. It argues to distinguish rule extraction using neural networks and rule extraction for neural networks according to their different goals, where fidelity and accuracy should be excluded from the rule quality evaluation framework, respectively.
%K rule extraction
%K neural network
%K fidelity
%K accuracy
%K machine learning<br>规则提取
%K 神经网络
%K 保真度
%K 精确度
%K 机器学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=8B7AD4A8788B80EB0E045A9DD0023F3E&yid=D0E58B75BFD8E51C&vid=2A8D03AD8076A2E3&iid=0B39A22176CE99FB&sid=2B25C5E62F83A049&eid=2B25C5E62F83A049&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=12&reference_num=34