USING ARTIFICIAL NEURAL NETWORKS TO DEVELOP PREDICTION MODELS FOR SENSORY-INSTRUMENTAL RELATIONSHIPS - AN OVERVIEW

The possibility of using neural networks for modelling instrumental-se nsory relationships is investigated. The advantages and disadvantages of using artificial neural networks (ANNs) are considered and compared with those of the multivariate linear methods of principal components regression (PCR) and partial least squares regression (PLS). In parti cular the problem of modelling nonlinear relationships is considered. It is concluded that ANNs cannot replace PCR and PLS for linear relati onships but do offer potential for modelling nonlinear relationships. (C) 1997 Elsevier Science Ltd. All rights reserved.