The deals with the problems of mathematical modeling and optimization of complex technological processes for obtaining extraction phosphoric acid based on the use of an artificial neural network. The use of the function of changing the concentrations from the residence time of the components in the reactor to find the mass consumption of phosphoric flour is substantiated and proposed. The work of a trained neural network for stabilizing perturbations is shown when input of input data with distortion is fed to its input.
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Mukhitdinov, D.P; Ergashev, F.A; and Schultz, A.V
"Development of the multicoupling dynamic model of process of extraction of phosphoric acid on the basis of an artificial neural network,"
Chemical Technology, Control and Management: Vol. 2018
, Article 10.
Available at: https://uzjournals.edu.uz/ijctcm/vol2018/iss2/10