%0 Journal Article
%T Research on a Opimal Algorithm for the Prediction of Wear Loss<br>一种磨损预测的优化算法研究
%A LU De-feng
%A ZUO Hong-fu
%A CAI Jing
%A WANG Ye
%A <br>吕德峰
%A 左洪福
%A 蔡景
%A 王烨
%J 摩擦学学报
%D 2008
%I 
%X Because the wear loss is complicated and difficult to measure,a method of parameter optimized least square support vector machine is introduced to predict wear loss.The optimized algorithm is immunity-particle swarm which could avoide getting into local best place.The optimized model of wear loss was proposed.The training and measuring data set was obtained from an experiment about wear loss.The prediction results of the optimized LS-SVM and neural network,ant colony optimization,genetic algorithm were comp...
%K wear loss
%K least square support vector machine
%K immunity-particle swarm
%K optimization<br>磨损量
%K 最小二乘支持向量机
%K 免疫粒子群
%K 优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=5D344E2AD54D14F8&jid=2F467A5C6371C830162AAA01D7DAD07A&aid=E4DE8AF8BD3E18EC1BF32612FA887B19&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&journal_id=1004-0595&journal_name=摩擦学学报&referenced_num=0&reference_num=10