%0 Journal Article %T Design of Fuzzy Associative Classifier for Identification of Radar Radiant Points
辐射源识别的模糊联想分类器设计 %A FANG Min WANG Bao-Shu %A
方敏 %A 王宝树 %J 计算机科学 %D 2003 %I %X The fuzzy associative classifier is investigated in this paper. The design methods of the fuzzy associative classifier with genetic algorithm for training are presented. This method trains the weight and back terms to obtain classification rules automatically. Radar radiant points are classified by using of this algorithm, and the simulation results show that the method has higher identification precision than available fuzzy classifiers. %K Classification %K Fuzzy associative classifiers %K Genetic algorithm %K Optimization
雷达信号 %K 辐射源识别 %K 模糊联想分类器 %K 设计 %K 模糊系统 %K 人工神经网络 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2FEFADD31C761481&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=F3090AE9B60B7ED1&sid=286FB2D22CF8D013&eid=318E4CC20AED4940&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=8