Evaluation of drying and degradation kinetics using neurocomputing

Application of artificial neural network (ANN) in chemical engineering with special reference to drying process is discussed in the paper. Two types o f networks: RBF and MLP, which are important for the description of a proce ss dynamics, are presented. As an example drying and degradation of ascorbi c acid in agricultural products are considered. The final conclusion suppor ted with experimental data stares that the type of ANN should be carefully selected because the real capability of the ANN model for a given dynamic p roblem is expressed in recurrent working mode.