METHODS OF STATISTICAL ANALYSIS AND NEURAL NETWORK TECHNOLOGIES FOR PREDICTION OF METALLURGICAL COKE QUALITY

The paper presents the results of the statistical analysis of the influence of coal concentrates mixture characteristics on metallurgical coke quality. The authors provide a neural network model, which allows forecasting coke characteristics. It helps to choose the mixture composition to obtain  qua...

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Autores principales:	V. S. Doroganov, A. G. Pimonov
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Kemerovo State University 2014-11-01
Colección:	Вестник Кемеровского государственного университета
Materias:	statistical analysis neural networks genetic algorithms metallurgical coke forecasting multithreaded computing
Acceso en línea:	https://vestnik.kemsu.ru/jour/article/view/990
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