Prediction of gas emission in mining face based on GA-PSO-SVM

Abstract

In order to prevent the gas from exceeding the limit and accurately and effectively predict the gas emission, this paper puts forward a prediction method of gas emission in mining face based on GA-PSO-SVM. The historical data of a coal mine is analyzed by comprehensively considering five factors that affect the gas emission from the working face. By predicting the gas emission from the test set, the values of MSE, MAE and RMSEP of GA-PSO-SVM model in the return gas concentration prediction are 0.029942, 0.001323 and 0.036378, respectively, and the three indexes are superior to the other three prediction models, indicating that the combined model is better than the single GA-SVM and PSO.