首页 | 本学科首页   官方微博 | 高级检索  
     检索      

应用粒子群算法从已知数据中确定置信测度和似然测度
引用本文:李正涛,赵环宇,马献果.应用粒子群算法从已知数据中确定置信测度和似然测度[J].河北科技大学学报,2011,32(2):128-132.
作者姓名:李正涛  赵环宇  马献果
作者单位:1. 河北省科学院科技处,河北石家庄,050081
2. 石家庄开发区冀科双实科技有限公司,河北石家庄,050081;河北省科学院应用数学研究所,河北石家庄,050081
3. 河北科技大学信息科学与工程学院,河北石家庄,050018
摘    要:应用粒子群算法确定置信测度和似然测度,针对2种模糊测度的特点,对基本粒子群算法进行改进.通过与基本粒子群算法和遗传算法的分析和比较,验证了改进算法的有效性和高效性.

关 键 词:置信模糊测度  似然模糊测度  模糊积分  粒子群优化  学习
收稿时间:2010/10/25 0:00:00
修稿时间:2011/1/4 0:00:00

Using particle swarm algorithm to identify belief and plausible measures from known data
LI Zheng-tao,ZHAO Huan-yu and MA Xian-guo.Using particle swarm algorithm to identify belief and plausible measures from known data[J].Journal of Hebei University of Science and Technology,2011,32(2):128-132.
Authors:LI Zheng-tao  ZHAO Huan-yu and MA Xian-guo
Institution:1.Department of Science and Technology,Hebei Academy of Sciences,Shijiazhuang Hebei 050081,China;2.Shijiazhuang Development Zone Jikeshuangshi Technology Company Limited,Shijiazhuang Hebei 050081,China;3.Institute of Applied Mathematics,Hebei Academy of Sciences,Shijiazhuang Hebei 050081,China;4.College of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang Hebei 050018,China)
Abstract:We apply particle swarm algorithm to identify belief and plausible measures,and improve the basic algorithm.By comparing with the basic and genetic algorithms,we verify that the improved one is more effective and efficient.
Keywords:belief fuzzy measure  plausible fuzzy measure  fuzzy integral  particle swarm optimization  learning
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《河北科技大学学报》浏览原始摘要信息
点击此处可从《河北科技大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号