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改进的F-ISODATA聚类算法在ANFIS建模中的应用

The Application of Improved Fuzzy ISODATA Clustering Algorithm in ANFIS
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摘要 文章介绍了模糊ISODATA聚类分析的算法及其改进算法,并以此对基因序列聚类进行实验分析。对基于模糊ISODATA聚类分析的神经模糊建模方法进行了介绍,并以此对电动汽车的蓄电池剩余电量进行了知识建模,得到了较好的结果。 The paper introduced the fuzzy ISODATA clustering algorithm and its improved algorithm firstly.and thus gene sequence cluster was analyzed by experiments.Then the neural fuzzy modeling method based on fuzzy ISODATA cluster analysis was introduced.And the knowledge modeling based on such methods for battery power of electric car was presented.The better results were obtained.
作者 陈映果
出处 《荆楚理工学院学报》 2011年第2期17-20,37,共5页 Journal of Jingchu University of Technology
关键词 ANFIS 模糊ISODATA 蓄电池荷电状态 聚类分析 ANFIS fuzzy ISODATA state of charge cluster analysis
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