| 基于模糊基函数变换的PLS及其在软测量中的应用 |
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| 引用本文： | 贾润达,毛志忠,常玉清.基于模糊基函数变换的PLS及其在软测量中的应用[J].东北大学学报(自然科学版),2009,30(2):172-175. |
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| 作者姓名： | 贾润达 毛志忠 常玉清 |
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| 作者单位： | 1. 东北大学,信息科学与工程学院,辽宁,沈阳,110004
2. 东北大学,信息科学与工程学院,辽宁,沈阳,110004;东北大学,流程工业综合自动化教育部重点实验室,辽宁,沈阳,110004 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 针对以往非线性偏最小二乘法(PLS)的局限性,提出了一种基于模糊基函数变换的PLS算法,用以解决非线性系统的建模问题.该方法首先通过模糊基函数变换将自变量与因变量之间的非线性关系转化为线性关系,再利用PLS算法进行回归求参,从而有效克服由于模糊基函数变换所引发的维数增加以及多重共线性,使得模型在具有较高拟合精度的同时还能有效地抑制噪声.通过仿真实验进一步验证了该方法的有效性,并将其应用于湿法冶金萃取过程组分含量软测量建模问题,得到了满意的效果.
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| 关 键 词： | 模糊基函数 非线性 偏最小二乘法 软测量 萃取 |
Partial Least Squares Regression Based on Transformation of Fuzzy Basis Functions and Its Application to Soft Sensor |
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| JIA Run-da,MAO Zhi-zhong,CHANG Yu-qing.Partial Least Squares Regression Based on Transformation of Fuzzy Basis Functions and Its Application to Soft Sensor[J].Journal of Northeastern University(Natural Science),2009,30(2):172-175. |
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| Authors: | JIA Run-da MAO Zhi-zhong CHANG Yu-qing |
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| Institution: | JIA Run-da1,MAO Zhi-zhong1,2,CHANG Yu-qing1,2 (1.School of Information Science & Engineering,Northeastern University,Shenyang 110004,China,2.Key Laboratory of Integrated Automation of Process Industry,Ministry of Education,China.) |
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| Abstract: | To model the nonlinear system and get rid of the limitation of existing nonlinear partial least squares(PLS),a nonlinear PLS algorithm based on the transformation of fuzzy basis functions is presented.The nonlinear relationship between independent and dependent variables are changed into linear one by transforming the fuzzy basis functions.Then,the PLS algorithm is used to get the regression parameters of the transformed independent and dependent variables so as to efficiently solve the problems of dimensio... |
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| Keywords: | fuzzy basis function nonlinearity partial least squares soft sensing extraction |
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