%0 Journal Article
%T Multi-output least squares support vector machine based on immune optimization and its applications<br>基于免疫优化多输出最小二乘支持向量机及其应用*
%A YE Hong-tao
%A LUO Fei
%A <br>叶洪涛
%A 罗飞
%J 计算机应用研究
%D 2010
%I 
%X The traditional support vector machine is used for the binary-class classification. It can not deal with multi-class classification directly. In order to solve the problem, proposed a method of multi-output least squares support vector machine (LS-SVM) based on immune optimization. Used the immune algorithm to optimize the parameters of LS-SVM. This method has been applied to modeling of biological wastewater treatment processes and speech emotion recognition. The results show this method has higher accuracy.
%K immune optimization
%K least squares support vector machine(LS-SVM)
%K biological wastewater treatment
%K speech emotion recognition<br>免疫优化
%K 最小二乘支持向量机
%K 污水生化处理
%K 语音情感识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=9ECD45DA383BB4D8CE62EC20A929873B&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=358F2B73B31EF50A&eid=03ABEE521EC3BA7B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10