%0 Journal Article
%T Training Support Vector Machines with Quantum-behaved Particle Swarms Optimization<br>基于QPSO算法训练SVM*
%A SHAN Yan
%A XU Wen-bo
%A SUN Jun
%A <br>山艳
%A 须文波
%A 孙俊
%J 计算机应用研究
%D 2007
%I 
%X According to the characters of swarm intelligence and constrained optimization,this paper proposed a method to solve a linearly constrained quadratic optimization problem in training support vector machines with QPSO.Testified QPSO has determinate applied value in the field of support vector machines,and it is a new way for quadratic programming problem with a large number of example vectors.
%K support vector machines
%K quantum-behaved particle swarm optimization(RPSO)
%K quadratic programming problem<br>支持向量机
%K 量子行为粒子群优化
%K 二次规划
%K 算法
%K 训练
%K Optimization
%K Swarms
%K Particle
%K Support
%K Vector
%K Machines
%K 约束优化问题
%K 大规模
%K 价值
%K 求解
%K 应用
%K 群体智能
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F6CD4A17B26496FC4B&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=DF92D298D3FF1E6E&sid=BB0EA31DB1B01173&eid=6700D0D256586E73&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8