%0 Journal Article
%T Recognition of pigmented skin lesions based on fuzzy support vector machines<br>基于模糊支持向量机的色素皮损症状识别
%A AI Wu
%A LI Hong
%A LU Sheng-qiang
%A <br>艾武
%A 李红
%A 鲁胜强
%J 计算机应用
%D 2007
%I 
%X Unclassifiable regions exist in conventional SVM classification with the two-class problems being extended to the multi-class problems. In order to solve this problem, fuzzy membership function was introduced in conventional SVM. Fuzzy support vector machine was applied to solve the unclassifiable problem existing in multi-class recognition by conventional SVM. The experimental results demonstrate that the proposed method outperforms the conventional SVM in the recognition of pigmented skin lesions.
%K Fuzzy Support Vector Machine (FSVM)
%K membership function
%K pigmented skin lesions
%K recognition<br>模糊支持向量机
%K 隶属度函数
%K 色素皮损
%K 识别
%K 模糊支持向量机
%K 皮肤色素斑
%K 皮损
%K 症状识别
%K support
%K vector
%K machines
%K fuzzy
%K based
%K skin
%K lesions
%K 效率
%K 识别过程
%K 方法
%K 实验
%K 盲区问题
%K FSVM
%K 模糊隶属度函数
%K 情况
%K 分区域
%K 多类问题
%K 扩展
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512D42500F4105DD151&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=4A2356A1257A12EB&eid=8C267C8DC97FEEEF&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8