Orthogonal Least Squares for forward Selection

版本 1.0.0 (2.4 KB) 作者: Shayan Sepahvand
This function allows the user to determine more important regressors in least squares method.
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更新时间 2019/1/3

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

引用格式

Shayan Sepahvand (2024). Orthogonal Least Squares for forward Selection (https://www.mathworks.com/matlabcentral/fileexchange/69887-orthogonal-least-squares-for-forward-selection), MATLAB Central File Exchange. 检索来源 .

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

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创建方式 R2016a
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版本 已发布 发行说明
1.0.0