Application of Neural Networks into Prediction of Qualitative Capability of the Preparation Process of Casting Moulds

In the article the problem of assurance of qualitative capability of the preparation process of casting moulds using artificial neural networks is presented. Using STATISTICA Neural Networks a set of the best networks is found. Obtained results of neural modeling were compared with the results of experimental investigations and classical mathematical modeling. The appropriate architecture of the neural network is chosen that predicts the quality capability of the preparation process of casting moulds with the high precision.