%0 Journal Article
%T Comparison between two solving methods for smooth support vector machine<br>光滑支持向量机两种求解算法的比较
%A LI Guang-ming
%A LIE Qun-feng
%A <br>李广明
%A 刘群锋
%J 计算机应用
%D 2009
%I 
%X The BFGS-Armijo method and Newton-Armijo method are two popular methods to solve the smooth models. The authors respectively listed the procedures of these two methods to solve Smooth Support Vector Machine (SSVM), and made a comparative study between the two methods to solve SSVM. The numerical results show that the classification performance of BFGS-Armijo method is almost the same as the Newton-Armijo method, but the classification efficiency of Newton-Armijo method is 26.2% higher than that of BFGS-Armijo method.
%K 分类
%K 支持向量机
%K Newton-Armijo法
%K BFGS-Armijo法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=AB3FAEA275DE3D531ECC5D4C52BBB76C&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=2E3D2E3C7A6F11A2&eid=B0D0FAC45E96482A&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8