| 自适应模糊逻辑系统的聚类学习算法研究 |
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| 引用本文： | 李学锋 黄万伟 等. 自适应模糊逻辑系统的聚类学习算法研究[J]. 控制与决策, 1996, 11(4): 514-516 |
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| 作者姓名： | 李学锋 黄万伟 等 |
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| 作者单位： | 西北工业大学航天学院 |
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| 摘 要： | 基于模糊逻辑系统一般数学模型，利用最近邻聚类学习算法对样本数据进行自适应分组，并对系统进行训练，从而使模糊逻辑系统具有自学习功能。
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| 关 键 词： | 模糊逻辑系统 聚类学习算法 自适应模糊系统 算法 |
Research of Training Algorithm of Adaptive Fuzzy Logic System Using Clustering |
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| Li Xuefeng,Huang Wanwei,Zhou Fengqi. Research of Training Algorithm of Adaptive Fuzzy Logic System Using Clustering[J]. Control and Decision, 1996, 11(4): 514-516 |
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| Authors: | Li Xuefeng Huang Wanwei Zhou Fengqi |
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| Affiliation: | Northwestern Polytechnic University |
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| Abstract: | Basing on the normal mathematical model of fuzzy logic system, the clusters of the sample data were determined and the system was trained by using the nearest neighborhood clustering algorithm. So the fuzzy logic system has the adaptive learning ability. |
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| Keywords: | fuzzy logic system nearest neighborhood clustering algorithm adaptive fuzzy system |
| 本文献已被 CNKI 维普 等数据库收录！ |
