The Study on the Methods for Predicting Coal or Gas Outburst Based on BP Neural Network

For the purpose of predicting the danger of coal and gas outburst in mine coal layer correctly,a kind of modified BP neural network based on the VLBP and LMBP algorithm in MATLAB neural network toolbox was put forth to speed up the network convergence speed in this paper.According to the characteristics of coal and gas outburst,five key influencing factors such as excavation depth,pressure of gas,and geologic destroy degree are selected as the judging indexes of coal and gas outburst.Then the model for predicting coal and gas outburst is built.Practical application demonstrates that the modified BP prediction model based on the MATLAB neural network toolbox can overcome the disadvantages of constringency and has fast convergence speed and good prediction accuracy.The analysis and computing show that the computing speed by LMBP algorithm is faster than by VLBP algorithm but needs more memory.And the results show that the model is a very efficient prediction method for mine coal and gas outburst,compared with the popular predicting methods,and has an important practical meaning for the mine production safety.