%0 Journal Article
%T Selection of SVM parameters using chaotic series and its application in handwriting verification<br>基于混沌序列的SVM参数选择及其在笔迹鉴别中的应用
%A ZHANG Hui-dang
%A HE Yu-yao
%A <br>张慧档
%A 贺昱曜
%J 计算机应用
%D 2007
%I 
%X In order to find the optimization compound of Support Vector Machine (SVM) parameters, that is penalty factor and nuclear factor, and help to identify the handwriting image, a parameter searching algorithm based on chaotic sequence was proposed to determine the SVM parameters automatically. Compared with the grid search and two-line search, the proposed algorithm is much simpler and easier to be implemented, which makes SVM has better outreach capacity. Classification experiment on 10 people handwriting gray-scale images prove that the proposed algorithm has higher classification rate and significantly reduce the number of training SVM.
%K Support Vector Machine(SVM)
%K chaotic series
%K parameters selection
%K handwriting verification<br>支持向量机
%K 混沌序列
%K 参数选取
%K 笔迹鉴别
%K 混沌序列
%K 参数选择
%K 笔迹鉴别
%K 应用
%K verification
%K handwriting
%K application
%K series
%K chaotic
%K parameters
%K 训练
%K 识别率
%K 分类识别
%K 方法
%K 结果
%K 比较实验
%K 图像库
%K 灰度
%K 能力
%K 参数选取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512A2FA3151882DED8F&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=5D311CA918CA9A03&sid=3967641A4A35D81D&eid=49BEA5698E310F48&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8