Prediction of receiving field strength based on SVM-LSTM hybrid model in the coal mine

Aiming at receiving the precision of the field intensity in the underground roadway, this paper proposes a network model based on SVR-LSTM hybrid proposal forecast model, with the real data of roadway, forecast receiving field of roadway, combined with the advantages of the two models, the prediction results of two kinds of single model of weight distribution, and the weights are optimized. The simulation results show that the SVR-LSTM hybrid network model has higher prediction accuracy than the adaptive regression model and the single network model.