...关键词:软测量;偏最小二乘;PTA溶剂脱水塔;回归;主成份回归 [gap=1054]Keywords:Soft-sensing; Partial least squares regression; PTA solvent dehydration tower; Regression; Principle component regression ..
基于34个网页-相关网页
推断模型一般是基于神经网络的非线性模型和基于偏最小二乘法(PLS,Partial Least Squares Regression)回归的线性模型。 (5)提高工厂试验效率 为了保证控制性能,得到准确的动态模型至关重要。
基于10个网页-相关网页
...认证考试 金融/证券 文学/艺术/军事/历史 2009,45(26) 1 引言 偏最小二乘回归分析(Partial Least Squares Regression, PLSR)是从应用领域提出的一种新型的多元统计分析方法。
基于10个网页-相关网页
partial least-squares regression method 偏最小二乘回归法
partial least squares regression method 偏最小二乘回归法
Weighted partial least squares regression 和加权偏最小二乘回归
adaptive partial least squares regression 自适应偏最小二乘回归
Kernel Partial Least Squares Regression 核偏最小二乘回归
partial least squares regression model 偏最小二乘回归模型
partial least-squares regression model 偏最小二乘回归模型
partial least-squares regression analysis 偏最小二乘回归分析法
以上来源于: WordNet
But the partial least squares regression models can be expressed by the original variables.
但是,由于偏最小二乘回归模型最终可以表示为原有所有变量的回归方程。
It has been shown that partial least squares regression is a good method that can be adopted.
实践表明,偏最小二乘回归是一种可以采用的方法。
In this paper the factor analysis method is presented to transform orthogonally the optimal subspace, which is obtained from partial least squares regression.
本文提出采用因素分析方法,对偏最小二乘回归的最优子空间进行正交变换。
应用推荐