Open AccessSIMULATION MODELING OF NEURAL CONTROL SYSTEM FOR SECTION OF MINE VENTILATION NETWORK
Author(s) -
Iryna Turchenko,
Volodymyr Kochan,
А. В. Саченко
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.5.2.404
Subject(s) - artificial neural network , computer science , set (abstract data type) , airflow , ventilation (architecture) , section (typography) , control (management) , network model , control engineering , simulation , artificial intelligence , engineering , mechanical engineering , programming language , operating system
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.