Evaluation Coupling Model of Mine Ventilation System Based on RS and ANN
Fu Yuhua, Longjun Dong · 2009
The broad masses of coal mining enterprises have been very concerned about how to effectively evaluate safety and reliability of mine ventilation system. Domestic and international scholars in this regard have also carried out a substantial amount of research and made a variety of different types of evaluation methods, but because there are many complex factors that affect the safety and reliability of mine ventilation system, it is very difficult to evaluate the ventilation system accurately using traditional methods. In view of this, this paper established an evaluation system based on rough sets and artificial neural network theory (ANN), it can complete a multi-level and multi-factor evaluation system and have self-learning capabilities. The coupling model is tested in actually projects, it shows that the model has a high accuracy, so that the model can be applied to the safety evaluation at the scene.