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.
metallurgical aggregates, neuro-fuzzy network, genetic algorithms, estimation, prediction
"Ynformatsyonnaia tekhnolohyia otsenky y prohnoza teplovыkh protsessov metallurhycheskykh ahrehatov" ,
Information Processing Systems,