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  5. Information technology assessment and forecast thermal processes metallurgical units

Information technology assessment and forecast thermal processes metallurgical units

А.Yu. Gusiev, Yu.Р. Rybalchenko
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An approach to improve technology assessment and forecast of the thermal state of metallurgical plants. The technique of solving the problem based on fuzzy inference systems using a genetic algorithm for learning neuro-fuzzy network. Evaluate the effectiveness of the developed technique.
Keywords: metallurgical aggregates, neuro-fuzzy network, genetic algorithms, estimation, prediction