%0 Journal Article
%T RADAR TARGET IDENTIFICATION USING NEURAL NETWORK CLASSIFIER BASED ON HMM FRAMEWORK<br>用HM框架下的神经网络分类器识别雷达目标
%A ZHOU De Quan
%A GUO Yao
%A Hong
%A <br>周德全
%A 郭耀红
%J 红外与毫米波学报
%D 2001
%I Science Press
%X A neural network classifier based on HMM framework was proposed.It can be used to identify timevarying signal, which an ordinary neural network lacks of, and can stress the differences of different signals. Evolutionary learning of the neural network weights using genetic algorithm solves the problem of falling into local minimum point which BP and Baum Welch algorithmnace. An example of recognizing radar return signal successfully by the neural netwrok was presented.
%K hidden Markov model
%K neural network
%K genetic algorithm
%K target recognition<br>隐含Markov模型
%K 遗传算法
%K 目标识别
%K 神经网络分类器
%K 雷达目标
%K HMM
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=FB97DED6D2AC67C8&yid=14E7EF987E4155E6&vid=A04140E723CB732E&iid=0B39A22176CE99FB&sid=D767283A3B658885&eid=4DB1E72614E68564&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=1&reference_num=5