| 递推部分最小二乘方法及其应用 |
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| 引用本文： | 龚沛文,李春富,葛铭.递推部分最小二乘方法及其应用[J].杭州电子科技大学学报,2011(4):181-184. |
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| 作者姓名： | 龚沛文 李春富 葛铭 |
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| 作者单位： | 杭州电子科技大学自动化学院; |
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| 摘 要： | 该文提出了一种递推的部分最小二乘算法.该算法利用遗忘因子法对旧参数矩阵进行加权,再和新数据矩阵组合,构成输入输出的数据矩阵,然后利用PLS核算法得到模型.结合实际工业过程的要求,给出了该算法的步骤,并运用该算法建立了煤气化炉合成气组分浓度的软测量模型.结果表明,递推的部分最小二乘算法可以有效的更新模型,使模型适应过程的...
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| 关 键 词： | 递推部分最小二乘 煤气化炉 软测量 |
Recursive Partial Least Squares and Its Applications |
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| GONG Pei-wen,LI Chun-fu,GE Ming.Recursive Partial Least Squares and Its Applications[J].Journal of Hangzhou Dianzi University,2011(4):181-184. |
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| Authors: | GONG Pei-wen LI Chun-fu GE Ming |
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| Affiliation: | GONG Pei-wen,LI Chun-fu,GE Ming(School of Automation,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China) |
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| Abstract: | In this paper,recursive partial least squares(RPLS) algorithm is proposed.This algorithm uses forgetting factor method to be weighted old parameter matrices,and combines with new data matrix,thus input and output data matrix is constituted,and then gets model by using PLS method.Combining with actual industrial process requirements,the steps of this algorithm are proposed,and the paper uses the algorithm to establish coal gasifier syngas component concentration of soft-sensor model.Results show that recursi... |
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| Keywords: | recursive partial least squares coal gasifier soft-sensor |
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