Neurodynamic model of product quality prediction during thermal processing of materials

Abstract

Features of the processes of heat treatment of materials are considered in the paper. Parameters affecting the quality of product are designated. The approach to modeling these processes by combining fuzzy logic with neural networks is formulated. Neurodynamic model prediction is constructed and investigated. The proposed model allows to improve the quality of products in technological processes of building materials manufacture.