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 providing non-linear modeling of response surfaces and optimization in capillary 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 combination of experimental design and ANN methods, which offers considerable effectiveness, has been developed. (C) 1998 Elsevier Science B.V.