%0 Journal Article
%T Study of Knowledge Extracting Based on Linguistic Neural Network and Its Application to ITS<br>基于语言神经网络的知识获取方法研究及在智能教学系统中的应用
%A WEI Wei-xing
%A MO Zan
%A LIAO Yi-kui
%A <br>韦卫星
%A 莫赞
%A 廖义奎
%J 系统工程理论与实践
%D 2004
%I 
%X A new methodology of extracting rules from linguistic neural networks is proposed. A linguistic neural unit, which has the ability to analyze continuous input variables in open districts and produces corresponding linguistic variables, is described. The training method for network with linguistic neural layer is discussed. The rules extracted are represented in concise and comprehensible If-Then forms, and don't need to be simplified further. An example showing how to extract rules automatically from the expert domain knowledge for intelligent tutoring system (ITS) is given.
%K neural network
%K linguistic neural units
%K extracting rules
%K intelligent tutoring system<br>神经网络
%K 语言神经元
%K 规则获取
%K 智能教学系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=930D48053EE3555F&yid=D0E58B75BFD8E51C&vid=B91E8C6D6FE990DB&iid=0B39A22176CE99FB&sid=68D88C2FCF9C3098&eid=B9704B40A4225A24&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=6