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

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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Bibliographic Details
Main Authors: V. S. Doroganov, A. G. Pimonov
Format: Article
Language:English
Published: Kemerovo State University 2014-11-01
Series:Вестник Кемеровского государственного университета
Subjects:
statistical analysis
neural networks
genetic algorithms
metallurgical coke
forecasting
multithreaded computing
Online Access:https://vestnik.kemsu.ru/jour/article/view/990

Internet

https://vestnik.kemsu.ru/jour/article/view/990

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