NEURAL NETWORKS FOR OPTIMIZATION OF HIGH-PERFORMANCE CAPILLARY-ZONE-ELECTROPHORESIS METHODS - A NEW METHOD USING A COMBINATION OF EXPERIMENTAL-DESIGN AND ARTIFICIAL NEURAL NETWORKS

Artificial neural networks (ANN) offer attractive possibilities for pr oviding non-linear modeling of response surfaces and optimization in c apillary zone electrophoresis (CZE) when the underlying mechanisms are very complex or not well known or understood, in comparison with (non )-linear regression methods, The application of ANN in optimization of CZE methods has been examined and a new method, based on the combinat ion of experimental design and ANN methods, which offers considerable effectiveness, has been developed. (C) 1998 Elsevier Science B.V.