Incremental learning of the triangular membership functions based on single-pass FCM and CHC genetic

来源 :高技术通讯：英文版 | 被引量 : 0次 | 上传用户：solar_cbc

【摘要】

：

In order to improve the efficiency of learning the triangular membership functions( TMFs) for mining fuzzy association rule( FAR) in dynamic database,a single-p

【作者】

：

霍纬纲 Qu Feng Zhang Yuxiang

【机构】

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DepartmentofComputerScienceandTechnology

【出处】

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高技术通讯：英文版

【发表日期】

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2017年1期

【关键词】

：

增量学习算法三角形隶属函数遗传模型 CHC FCM 模糊关联规则挖掘聚类中心学习方法 incremental learning triangular

【基金项目】

：

Supported by the National Natural Science Foundation of China（No.61301245,U1533104）

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In order to improve the efficiency of learning the triangular membership functions( TMFs) for mining fuzzy association rule( FAR) in dynamic database,a single-pass fuzzy c means( SPFCM)algorithm is combined with the real-coded CHC genetic model to increme

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Incremental learning of the triangular membership functions based on single-pass FCM and CHC genetic

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