基于数据分散度聚类的浆纱质量指标建模与仿真

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (8): 1707-1714.

• 仿真建模理论与方法 • 下一篇

基于数据分散度聚类的浆纱质量指标建模与仿真

张宇献¹, 钱小毅¹, 董晓¹, 王建辉²

1.沈阳工业大学电气工程学院,沈阳 110870;
2.东北大学信息科学与工程学院,沈阳 110819

收稿日期:2015-02-04 修回日期:2015-11-26 出版日期:2016-08-08 发布日期:2020-08-17
作者简介:张宇献(1979-),男,辽宁沈阳,博士,副教授,研究方向为复杂工业过程建模,智能控制;钱小毅(1989-),男,辽宁辽阳,博士生,研究方向为优化控制。
基金资助:
国家自然科学基金(61102124),辽宁省自然科学基金(2015020064)

Slashing Quality Index Modeling and Simulation Based on Data Dispersion Clustering

Zhang Yuxian¹, Qian Xiaoyi¹, Dong Xiao¹, Wang Jianhui²

1. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China;
2. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China

Received:2015-02-04 Revised:2015-11-26 Online:2016-08-08 Published:2020-08-17

摘要/Abstract

摘要： 针对典型划分式聚类算法对噪声和孤立点数据敏感问题,提出一种基于数据分散度的聚类算法。该算法定义数据分散度指标,将其引入非欧氏距离函数建立相似性度量实现数据的聚类,并根据基于改进划分系数的有效性函数获取最佳聚类数。将其应用于纺织浆纱过程质量指标建模中,采用径向基神经网络建立上浆率质量指标模型,通过该聚类算法确定隐层节点数,求取径向基函数中心。实验结果表明所提及的基于数据分散度的聚类算法对噪声和孤立点数据敏感度低,所建立的上浆率质量指标模型具有较高精度。

关键词: 质量指标模型, 聚类, 数据分散度, 非欧氏距离, 纺织浆纱过程

Abstract: For the sensitivity of noise and outliers data in the typical partitioning clustering algorithm, a clustering algorithm based on data dispersion was proposed. The data dispersion was defined and introduced to a non-Euclidean distance. The similarity metric was established, and the data clustering was realized. The optimal clustering number was obtained by the validity function based on improved partition coefficient. Then the proposed clustering algorithm was applied to quality index model in slashing process. A size add-on quality index model was built by radial basis function neural networks. The node number of hidden layer was determined and the center of radial basis function was obtained by the proposed clustering algorithm. The empirical result shows that the clustering result is insensitive to noise and outliers data, and the accuracy of size add-on quality index model is higher.

Key words: quality index model, clustering, data dispersion, non-Euclidean distance, textile slashing process

中图分类号:

TP183

张宇献, 钱小毅, 董晓, 王建辉. 基于数据分散度聚类的浆纱质量指标建模与仿真[J]. 系统仿真学报, 2016, 28(8): 1707-1714.

Zhang Yuxian, Qian Xiaoyi, Dong Xiao, Wang Jianhui. Slashing Quality Index Modeling and Simulation Based on Data Dispersion Clustering[J]. Journal of System Simulation, 2016, 28(8): 1707-1714.

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基于数据分散度聚类的浆纱质量指标建模与仿真

Slashing Quality Index Modeling and Simulation Based on Data Dispersion Clustering

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