Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal

S. S. Abdurakipov, E. B. Butakov, A. P. Burdukov, A. V. Kuznetsov, G. V. Chernova

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

An experimental study of the effect of pulverization on the thermal destruction of coal is carried out. Artificial neural networks are used to develop a model that allows predicting the degree of burnout of pulverized coals with high accuracy (an average relative error of 3% and a determination coefficient of 96%).

Original languageEnglish
Pages (from-to)697-701
Number of pages5
JournalCombustion, Explosion and Shock Waves
Volume55
Issue number6
DOIs
Publication statusPublished - 1 Nov 2019

Keywords

  • artificial neural network
  • coal
  • flame
  • high-stress pulverization
  • machine learning
  • synchronous thermal analyzer

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