Partial least squares regression for recursive system identification
暂无分享,去创建一个
[1] K. Helland,et al. Recursive algorithm for partial least squares regression , 1992 .
[2] U. Schulze. Math.operationsforsch.u.statist.,ser.statist , 1984 .
[3] B. Kowalski,et al. Partial least-squares regression: a tutorial , 1986 .
[4] Barry M. Wise,et al. THE EFFECT OF BIASED REGRESSION ON THE IDENTIFICATION OF FIR AND ARX MODELS , 1990 .
[5] C. R. Cutler,et al. Dynamic matrix control¿A computer control algorithm , 1979 .
[6] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[7] M. Stone. Continuum regression: Cross-validated sequentially constructed prediction embracing ordinary least s , 1990 .
[8] R. Manne. Analysis of two partial-least-squares algorithms for multivariate calibration , 1987 .
[9] G. L. Ritter,et al. Partial Least-Squares Quantitative Analysis of Infrared Spectroscopic Data. Part I: Algorithm Implementation , 1988 .
[10] Svante Wold,et al. Partial least-squares method for spectrofluorimetric analysis of mixtures of humic acid and lignin sulfonate , 1983 .
[11] A. Höskuldsson. PLS regression methods , 1988 .
[12] L. Ljung,et al. Issues in system identification , 1991, IEEE Control Systems.
[13] S. Wold,et al. The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses , 1984 .
[14] N. L. Ricker. The use of biased least-squares estimators for parameters in discrete-time pulse-response models , 1988 .
[15] M. Stone. Cross-validation:a review 2 , 1978 .
[16] E. V. Thomas,et al. Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information , 1988 .
[17] Thomas J. McAvoy,et al. Nonlinear PLS Modeling Using Neural Networks , 1992 .