Improved predictions of nonlinear support vector regression and artificial neural network models via preprocessing of data with orthogonal projection to latent structures: A case study

Improved predictions of nonlinear support vector regression and artificial neural network models via preprocessing of data with orthogonal projection to latent structures: A case study

In the presented study, orthogonal projection to latent structures (OPLS) is introduced asÂ a data preprocessing method that handles nonlinear data prior to modelling with two well established nonlinear multivariate models; namely support vector regression (SVR) and artificial neural networks (ANN)....

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Bibliographic Details
Main Author:	Ibrahim A. Naguib
Format:	Article
Language:	English
Published:	Faculty of Pharmacy, Cairo University 2017-12-01
Series:	Bulletin of Faculty of Pharmacy Cairo University
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110093117300418

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