Selection of preprocessing methods for partial least squares regression of acoustic spectrometry data using a genetic algorithm
作者： Sebastian Johansson Mauricio
DOI:
关键词: Pattern recognition 、 Genetic algorithm 、 Selection (genetic algorithm) 、 Partial least squares regression 、 Computer science 、 Artificial intelligence 、 Preprocessor
摘要:
chalmers.se参考文章(13)
P. Howlett, A. Torokhti, Computational methods for modelling of nonlinear systems Elsevier. ,(2007)
Richard G. Brereton, Applied Chemometrics for Scientists ,(2007)
Michael Weeks, Digital Signal Processing Using Matlab And Wavelets ,(2006)
Colin R. Reeves, Using Genetic Algorithms with Small Populations international conference on genetic algorithms. pp. 92- 99 ,(1993)
Charles L Phillips, John M Parr, Eve Ann Riskin, Telagarapu Prabhakar, Signals, Systems, and Transforms ,(1994)
Sue Ellen Haupt, Randy L. Haupt, Practical Genetic Algorithms ,(2004)
Jonathan E. Rowe, Colin R. Reeves, Genetic Algorithms: Principles and Perspectives: A Guide to Ga Theory ,(2002)
Geoffrey R. Grimmett, David Stirzaker, Probability and random processes ,(1982)
Riccardo Leardi, Amparo Lupiáñez González, Genetic algorithms applied to feature selection in PLS regression: how and when to use them Chemometrics and Intelligent Laboratory Systems. ,vol. 41, pp. 195- 207 ,(1998) , 10.1016/S0169-7439(98)00051-3
Paul Geladi, Bruce R. Kowalski, Partial least-squares regression: a tutorial Analytica Chimica Acta. ,vol. 185, pp. 1- 17 ,(1986) , 10.1016/0003-2670(86)80028-9