Abstract:Existing techniques for monitoring and controlling the ventilation system in underground mines are limited; since they only detect areas of low oxygen level or use software to model systems based on standardized data, but not, they evaluate the factors and identify the causes that generate the deficiency in the system. For this reason, a predictive method of factors influencing the airflow of the ventilation system is proposed as a possible solution with the use of artificial neural networks (ANN) to strengthe… Show more
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