DATA-PROCESSING BY NEURAL NETWORKS IN QUANTITATIVE CHEMICAL-ANALYSIS

An overview is given of the current usage of artificial neural network s as mathematical models for non-linear calibration procedures. The em phasis is on practical aspects: the choice of the calibration samples, the required network characteristics for a given problem, various tra ining methods and their efficiency and the validation of the network m odels. Some problems with the application of neural networks in multiv ariate calibration are considered, together with recent research aimed at solving these problems.