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基于模糊聚类和BP算法的混合模型
引用本文:陈芳芳,曾京京. 基于模糊聚类和BP算法的混合模型[J]. 武汉理工大学学报(信息与管理工程版), 2011, 0(5): 694-697
作者姓名:陈芳芳  曾京京
作者单位:武汉理工大学理学院;武汉理工大学华夏学院;
基金项目:武汉理工大学自主创新研究基金资助项目(2010-ZY-LX-033;20520012)
摘    要:针对模糊聚类算法存在的问题,通过对聚类有效性函数的分析,对聚类数c和加权指数m进行改进,将改进后的模糊聚类算法引入BP算法中,建立基于模糊聚类与BP算法的混合模型,并进行实验分析,分析结果表明,混合模型在准备性上优于传统的BP算法,因为数据经过模糊聚类之后同类数据具有更多的相似特征。

关 键 词:模糊聚类  有效性  BP算法

Hybrid Model Based on Fuzzy Clustering and BP Algorithm
CHEN Fangfang,ZENG Jingjing :Postgraduate,School of Sciences,WUT,Wuhan ,China.. Hybrid Model Based on Fuzzy Clustering and BP Algorithm[J]. Journal of Wuhan University of Technology(Information & Management Engineering), 2011, 0(5): 694-697
Authors:CHEN Fangfang  ZENG Jingjing :Postgraduate  School of Sciences  WUT  Wuhan   China.
Affiliation:CHEN Fangfang,ZENG Jingjing :Postgraduate,School of Sciences,WUT,Wuhan 430070,China.
Abstract:The clustering validity function was analyzed;and the clustering number c and index m were modified.The improved fuzzy clustering algorithm was introduced into BP algorithm.A hybrid model was then established based on fuzzy clustering and BP algorithm to solve the existed problems in the fuzzy clustering analysis.Experimental analysis was also conducted.The results show that the hybrid model is superior to the traditional BP algorithm method in the preparation,because the data have more similar characterist...
Keywords:fuzzy clustering  effectiveness  BP algorithm  
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