%0 Journal Article
%T Internal P-reasoning and Identification of Internal Convergence Information<br>内P-推理与内收敛信息的辨识
%A CAO Jun
%A LIU Guam-yuan
%A LAI Xiang-wei
%A <br>徐凤生
%A 于秀清
%A 史开泉
%J 计算机科学
%D 2012
%I 
%X This paper discussed the feature selection from ECG signal in affective recognition. At first, the original fcatures with high correlation were deleted to reduce dimensionality of original feature set by correlation analysis. Andthen, an improved quantum-behaved particle swarm optimization with binary encoding algorithm was proposed to achieve effective feature selection in the feature space with reduced dimension. hhe experimental results shows that the affective recognition system based on this algorithm and fisher classifier recognize the anger,disgust,fear,grief,joy and surpnse successfully.
%K Feature selection
%K Correlation analysis
%K I3QPS0 algorithm
%K Affective recognition<br>P-集合
%K P-推理
%K 内收敛信息
%K 生成定理
%K 存在原理
%K 推理辨识
%K 应用
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D5B7C4A24E11D7BAA39E03F46491EF17&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=38B194292C032A66&sid=D2742EEE6F4DF8FE&eid=1B64850025D0BBBE&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0