Construction and Simulation of coal mine gas concentration prediction model based on BP neural network

Based on the analysis of the nonlinear characteristics of various factors affecting the coal mine gas concentration, this paper uses BP algorithm to build the prediction model of coal mine gas concentration, and realizes the nonlinear mapping of various factors, so as to achieve the purpose of predicting the gas concentration of coal mine heading face. Matlab simulation results show that the model has the advantages of high prediction accuracy, fast prediction speed and good prediction effect.