%0 Journal Article
%T Acquisition of classification rule based onquantum-behaved particle swarm optimization<br>基于量子行为的粒子群优化算法分类规则获取
%A LIU Tao
%A YIN Feng
%A CHEN Jian-ying
%A HE Yu-lin
%A <br>刘韬
%A 殷锋
%A 陈建英
%A 何蔚林
%J 计算机应用研究
%D 2009
%I 
%X This paper introduced the basic particle swarm optimization(PSO) firstly.For resolving the shortage of PSO on convergence precise,presented quantum-behaved particle swarm optimization(QPSO).Presented a new algorithm of acquisition of classification rule based on QPSO,and extracted the classification rules of UCI data sets by this algorithm.The result indicates this algorithm achieves better classification accuracy and global optimum.
%K particle swarm
%K optimization
%K quantum-behaved
%K classification<br>粒子群
%K 优化
%K 量子行为
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F916425C1705950C2413B8596523F8AC&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=C4490A71BEB872FA&eid=A03A15CF5604A8B0&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8