Orthogonal Least Squares for forward Selection

バージョン 1.0.0 (2.36 KB) 作成者: Shayan Sepahvand
This function allows the user to determine more important regressors in least squares method.

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更新 2019/1/3


The attached function inputs number of data samples, noise variance and polynomial coefficient vector to estimate the parameters using subset selection.


Shayan Sepahvand (2022). Orthogonal Least Squares for forward Selection (https://www.mathworks.com/matlabcentral/fileexchange/69887-orthogonal-least-squares-for-forward-selection), MATLAB Central File Exchange. 取得済み .

O. Nelles, Nonlinear System Identification, Springer-Verlag Berlin Heidelberg 2001

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作成: R2016a
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