DEVELOPMENT OF THE METHOD OF PREDICTION OF THE OUTPUT OF CHEMICAL PRODUCTS OF COAL WITH THE USE OF NEURO NETWORK MODELING
Copyright policy )DEVELOPMENT OF THE METHOD OF PREDICTION OF THE OUTPUT OF CHEMICAL PRODUCTS OF COAL WITH THE USE OF NEURO NETWORK MODELING
На основе математического анализа экспериментальных данных показателей качества углей и угольных концентратов и выхода химических продуктов коксования методами корреляционного, регрессионного, канонического и кластерного анализов разработаны нейросетевые математические модели для прогноза исследуемых параметров. Полученные результаты в дальнейшем планируется использовать при составлении оптимальных шихт для коксования в реальных производственных условиях.
On the basis of mathematical analysis of experimental data of coal and coal concentrates quality indicators and coking chemical products yield by the methods of correlation, regression, canonical and cluster analysis, neural network mathematical models for the forecast of the studied parameters have been developed. The obtained results are planned to be used in the future in the preparation of optimal charge for coking in real production conditions.
№4(24) (2019)
- Kuzbass State Technical University Russian Federation
- Kuzbass State Technical University Russian Federation
coal, математическая модель, уголь, нейронные сети, coking chemical products, neural networks, химические продукты коксования, mathematical model
coal, математическая модель, уголь, нейронные сети, coking chemical products, neural networks, химические продукты коксования, mathematical model
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