| 基于局部线性度量的模糊建模 |
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| 引用本文： | 杜文吉,谢维信,刘源,李隐峰. 基于局部线性度量的模糊建模[J]. 电子学报, 2000, 28(1): 64-66 |
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| 作者姓名： | 杜文吉 谢维信 刘源 李隐峰 |
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| 作者单位： | 西安电子科技大学电子工程学院,西安 710071 |
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| 摘 要： | 提出了一种高木-关野模糊逻辑系统的学习算法,该算法的核心是基于数据样本局部线性度量的聚类,它可以有效地确定规则数以及相应模糊逻辑系统的参数初值.通过对系统的参数进行优化,可以很好的描述输入输出变量间的关系.仿真实验说明了该方法的优越性.
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| 关 键 词： | 模糊逻辑 模糊建模 规则提取 聚类 |
| 文章编号： | 0372-2112 (2000) 01-0064-03 |
| 收稿时间： | 1998-10-05 |
Fuzzy Model Identification Based on Local Linearity Measure |
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| DU Wen-ji,XIE Wei-xin,LIU Yuan,LI Yin-feng. Fuzzy Model Identification Based on Local Linearity Measure[J]. Acta Electronica Sinica, 2000, 28(1): 64-66 |
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| Authors: | DU Wen-ji XIE Wei-xin LIU Yuan LI Yin-feng |
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| Affiliation: | School of Electronic Eng.,Xidian University,Xi'an 710071,China |
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| Abstract: | A new Takagi-Sugeno type hay system modeling method is Proposed in this paper, which is based on local linearity measure of training data. The number of rules and their initial parameter values can be determined through this method. The relation between input/output variables can be approached much more accurately though parameter optimization. Finally a numerical example is used to illustrate the efficiency of this method. |
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| Keywords: | fuzzy logic fuzzy modeling rule extract clustering |
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