RADIAL BASIS FUNCTION NETWORKS IN LIQUID CHROMATOGRAPHY: IMPROVED STRUCTURE-RETENTION RELATIONSHIPS COMPARED TO PRINCIPAL COMPONENTS REGRESSION (PCR) AND NONLINEAR PARTIAL LEAST SQUARES REGRESSION (PLS)

Principal Components Regression ◽

Structure Retention

A partial least squares regression method for growing radial basis function networks

2008 Chinese Control and Decision Conference ◽

10.1109/ccdc.2008.4597788 ◽

2008 ◽

Author(s):

Jianchuan Yin ◽

Gexin Bi ◽

Fang Dong

Keyword(s):

Radial Basis Function ◽

Least Squares ◽

Partial Least Squares ◽

Basis Function ◽

Regression Method ◽

Radial Basis

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification

Neurocomputing ◽

10.1016/j.neucom.2007.12.003 ◽

2008 ◽

Vol 71 (16-18) ◽

pp. 3421-3433 ◽

Cited By ~ 22

Author(s):

S. Chen ◽

X. Hong ◽

C.J. Harris ◽

L. Hanzo

Keyword(s):

Radial Basis Function ◽

Least Squares ◽

Basis Function ◽

Orthogonal Least Squares ◽

Radial Basis ◽

Complex Valued

Comparison of principal components regression and partial least squares regression through generic simulations of complex mixtures

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/s0169-7439(02)00138-7 ◽

2003 ◽

Vol 65 (2) ◽

pp. 257-279 ◽

Cited By ~ 119

Author(s):

Peter D. Wentzell ◽

Lorenzo Vega Montoto

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Complex Mixtures ◽

Principal Components Regression

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

Fully complex-valued radial basis function networks for orthogonal least squares regression

10.1109/ijcnn.2008.4633759 ◽

2008 ◽

Cited By ~ 3

Author(s):

S. Chen ◽

X. Hong ◽

C.J. Harris

Keyword(s):

Radial Basis Function ◽

Least Squares ◽

Basis Function ◽

Orthogonal Least Squares ◽

Radial Basis ◽

Complex Valued

Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion

JOURNAL OF EDUCATION AND SCIENCE ◽

10.33899/edusj.2012.59139 ◽

2012 ◽

Vol 25 (2) ◽

pp. 201-220

Author(s):

Elham Hussein

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Principal Components Regression ◽

Factors Influencing

Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat

Food and Bioprocess Technology ◽

10.1007/s11947-014-1381-z ◽

2014 ◽

Vol 8 (1) ◽

pp. 31-40 ◽

Cited By ~ 56

Author(s):

S. Mahesh ◽

D. S. Jayas ◽

J. Paliwal ◽

N. D. G. White

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Near Infrared ◽

Hyperspectral Images ◽

Principal Components Regression

Two-step superresolution approach for surveillance face image through radial basis function-partial least squares regression and locality-induced sparse representation

Journal of Electronic Imaging ◽

10.1117/1.jei.22.4.041120 ◽

2013 ◽

Vol 22 (4) ◽

pp. 041120 ◽

Cited By ~ 4

Author(s):

Junjun Jiang ◽

Ruimin Hu ◽

Zhen Han ◽

Zhongyuan Wang ◽

Jun Chen

Keyword(s):

Radial Basis Function ◽

Sparse Representation ◽

Least Squares ◽

Partial Least Squares ◽

Basis Function ◽

Face Image ◽

Radial Basis

Multiple Regression, Principal Components Regression and Partial Least Squares Regression

Statistics for Sensory and Consumer Science ◽

10.1002/9780470669181.ch15 ◽

2010 ◽

pp. 227-247

Keyword(s):

Least Squares ◽

Multiple Regression ◽

Partial Least Squares ◽

Principal Components ◽

Principal Components Regression

Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS

Journal of Analytical Atomic Spectrometry ◽

10.1039/c1ja10164a ◽

2012 ◽

Vol 27 (1) ◽

pp. 92-98 ◽

Cited By ~ 51

Author(s):

P. Yaroshchyk ◽

D. L. Death ◽

S. J. Spencer

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Iron Ore ◽

Principal Components Regression ◽

Regression Algorithms

Aging status characterization of Chinese rice wine based on key aging-marker profiles combined with principal components analysis and partial least-squares regression

European Food Research and Technology ◽

10.1007/s00217-020-03488-x ◽

2020 ◽

Vol 246 (6) ◽

pp. 1283-1296 ◽

Cited By ~ 1

Author(s):

Na Wang ◽

Zhemin Zhou ◽

Shuang Chen

Keyword(s):

Least Squares ◽

Principal Components Analysis ◽

Partial Least Squares ◽

Principal Components ◽

Rice Wine ◽

Chinese Rice Wine ◽

Components Analysis