SIMULATION MODELING OF NEURAL CONTROL SYSTEM FOR SECTION OF MINE VENTILATION NETWORK

Authors

  • Iryna Turchenko
  • Volodymyr Kochan
  • Anatoly Sachenko

DOI:

https://doi.org/10.47839/ijc.5.2.404

Keywords:

Mine ventilation network, airflow control, neural network

Abstract

Static and dynamic simulation models of a section of a mine ventilation network in order to research a sequential neural control scheme of mine airflow are developed in this paper. The techniques of neural network training set creation for both simulation models, a structure of neural network and its training algorithm are described. The simulation modeling results using static and dynamic models have showed good potential capabilities of neural control approach.

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Published

2014-08-01

How to Cite

Turchenko, I., Kochan, V., & Sachenko, A. (2014). SIMULATION MODELING OF NEURAL CONTROL SYSTEM FOR SECTION OF MINE VENTILATION NETWORK. International Journal of Computing, 5(2), 106-116. https://doi.org/10.47839/ijc.5.2.404

Issue

2006, Volume 5, Issue 2

Section

Articles

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