Abstract:

According to the problem of coal mine safety warning and the shortcomings in traditional Fuzzy Neural Network (FNN), the coal mine safety warning model based on improved FNN is constructed. Application results show that this model has the advantages of good performance and high prediction accuracy. The coal mine security conditions can be predicted by establishing the appropriate warning models for different mechanized mining faces. In order to take the appropriate preventive and protective measures and avoid the occurrence of major accidents, dynamic regularity in the production process should be grasped timely.

Key words: Coal Mine Safety, Warning Model, Fuzzy Neural Network, Safety Prediction