Abstract: Artificial neural network model for chitosan-alginate microcapsules was established on the basis of selecting input- output units, pretreating data, determining transfer function and choosing training function. The network structure is five neurons input layer, three neurons output layer and hidden layers with the number of neurons 12. The trained network has a high generalization, and the error between the predictions and the real values is less than 4% and can take the place of real experiment. The works provide a basis for optimizing process parameters.

Key words: artificial neural network, chitosan-alginate microsphere, model