Study on Mine Geological Hazard Assessment Model Based on ANN

Artificial Neural Networks (ANN) has the characteristics of adaptive, self-organization and self-learning. It can obtain the capabilities such as classify knowledge, pattern discrimination and associative memory by training and learning. The Mining-induced geological hazards assessment can be viewed as a pattern recognition problem. In this paper, a mine geological hazard assessment model is proposed based on BP neural network and the computing method is introduced. The model is verified by taking a single hidden layer and two hidden layer network structure as the two examples to calculate and analyze.