[1]廖春华,杜建强,程春雷,等.改进的偏最小二乘回归推荐算法[J].江西师范大学学报(自然科学版),2012,(06):626-630.
 XIE Cheng-wang.The Improved Partial Least Squares Regression Recommendation Algorithm[J].,2012,(06):626-630.
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改进的偏最小二乘回归推荐算法()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年06期
页码:
626-630
栏目:
出版日期:
2012-12-01

文章信息/Info

Title:
The Improved Partial Least Squares Regression Recommendation Algorithm
作者:
廖春华;杜建强;程春雷;李智彪
江西中医学院计算机学院, 江西 南昌 330004
Author(s):
XIE Cheng-wang
关键词:
偏最小二乘法回归kernel算法算法改进加权递归算法
Keywords:
partial least squares(PLS)regressionkernel algorithmalgorithms improvementrecursive exponentially weighted algorithms
分类号:
O625.63
文献标志码:
A
摘要:
基于已有的相关 PLS算法,提出了针对 QSAR研究和工业过程控制建模的环境要求的 PLS回归改进算法:加强递归PLS算法.模拟实验结果表明:在实时建模过程中,该算法的性能优于传统的PLS回归算法.
Abstract:
Based on the related PLS algorithms, a new improved recursive exponentially weighted PLS regressions algorithms was derived for the QSAR research and industrial process control modeling. Simulation experiments show that in the real-time modeling process, the performance of this algorithm is superior to the traditional PLS regression algorithm.

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更新日期/Last Update: 1900-01-01