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In this paper,a nonlinear partial least squares(NLPLS) is proposed by combining partial least squares(PLS) with RBF network. 该文将部分最小二乘算法与径向基函数神经网络相结合,给出了一种非线性部分最小二乘建模方法,可以更加有效地处理过程非线性和数据共线性等复杂特性,提高模型的精度和推广能力。 更...
6) Nonlinear partial least squares 非线性偏最小二乘 例句>> 补充资料:非线性最小二乘法 以误差的平方和最小为准则来估计非线性静态模型参数的一种参数估计方法。设非线性系统的模型为 y=f(x,θ) 式中y是系统的输出,x是输入,θ是参数(它们可以是向量)。这里的非线性是指对参数θ的非线性模型,不包括...
17.Consistency of the Least Squares Estimator in Nonlinear Regression Model;非线性回归模型中最小二乘估计量的相合性 18.Study on the Method of Nonlinear Partial Least Squares and Its Applications非线性部分最小二乘方法的研究与应用 相关短句/例句 linear least square optimization线性最小二乘优化 1.Based...
A batch-to-batch optimal control approach for batch processes based on batch-wise updated nonlinear partial least squares (NLPLS) models is presented in this article. To overcome the difficulty in developing mechanistic models for batch/semi-batch processes, a NLPLS model is developed to predict ...
Key performance indicator-partial least squares (KPI-PLS) achieves linear indicator fault detection through the appropriate decomposition of variables into related and unrelated parts. This approach uses the projection matrix obtained by general singular value decomposition to decompose the residual space of...
3. Chaos Prediction Model Based on Nonlinear Partial Least Squares (PLS) Regression Suppose observed time series is {xn} (n = 1,2, …, N), the chaotic phase space sn is reconstructed by [16]. (3.1) where τ is the delay time, m is the embedding dimension and N is the length...
According to news originating from Jiangsu, People's Republic of China, by NewsRx correspondents, research stated, "For the collinearity problem of input variables in actual industrial process modeling, a novel dynamic nonlinear partial least squares (PLS) approach is presented to solve this problem...
We introduce a new algorithm for the solution of systems of nonlinear equations and nonlinear least-squares problems that attempts to combine the efficienc... NIM Gould,S Leyffer,PL Toint - 《Siam J Optim》 被引量: 231发表: 2004年 Nonlinear partial least squares We propose a new nonparametric...
3a–c). Partial least squares (PLS) regression was further used to compare the strength of the age effect across different omics data types. The results are consistent with the results presented above in Fig. 2a (Methods). These findings suggest the potential utility of these datasets as ...