| 一种基于数据挖掘的模糊建模方法 |
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| 引用本文： | 戴仲,陈琴,段玉波,尚胤彤,徐双双. 一种基于数据挖掘的模糊建模方法[J]. 计算技术与自动化, 2011, 30(3): 127-130 |
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| 作者姓名： | 戴仲 陈琴 段玉波 尚胤彤 徐双双 |
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| 作者单位： | 1. 大庆油田天然气分公司,黑龙江大庆,163411
2. 东北石油大学电气信息工程学院,黑龙江大庆,163318 |
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| 基金项目： | 黑龙江省博士后科研启动基金项目(LBH-Q08159) |
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| 摘 要： | 为提高非线性系统模糊建模的速度和精确度,提出一种快速有效的基于数据挖掘的非线性系统模糊建模方法.该方法先采用改进的减法聚类结合模糊C-均值聚类进行结构辨识,在解决初始化问题的同时减少计算量,进而提高建模速度；然后利用带动态遗忘因子的递推最小二乘法进行后件参数辨识,减小动态误差,提高建模精度.将提出的方法应用于Box-J...
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| 关 键 词： | 数据挖掘 改进减法聚类 动态遗忘因子 模糊建模 |
A New Method for Fuzzy Modeling Based on Data mining |
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| DAI Zhong,CHEN Qin,DUAN Yu bo,SHANG Yin tong,XU Shuang shuang. A New Method for Fuzzy Modeling Based on Data mining[J]. Computing Technology and Automation, 2011, 30(3): 127-130 |
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| Authors: | DAI Zhong CHEN Qin DUAN Yu bo SHANG Yin tong XU Shuang shuang |
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| Affiliation: | DAI Zhong1,CHEN Qin2,DUAN Yu-bo2,SHANG Yin-tong2,XU Shuang-shuang2 (1.Natural gas branch of Daqing Oilfield,Daqing 163411,2.School of Electrical and Information Engineering,Northeast Petroleum University,Daqing 163318,China) |
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| Abstract: | With the goal of improving the speed and accuracy of fuzzy modeling for nonlinear system,a fast and effective method based on data-mining is proposed.In the process of fuzzy structure identification,an improved subtractive clustering combined with fuzzy c-means clustering are introduced to speed up the modeling by solving the problem of initialization of FCM and reducing the calculation of clustering simultaneously.Then the consequence parameter identification is obtained by the recursive least-square algor... |
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| Keywords: | data-mining improved subtractive clustering dynamic forgetting factor fuzzy modeling |
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