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 as 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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| Format: | Article |
| Language: | English |
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Faculty of Pharmacy, Cairo University
2017-12-01
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| Series: | Bulletin of Faculty of Pharmacy Cairo University |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110093117300418 |