Temperature and humidity of air in mine roadways prediction based on BP neural network

The present situation in predicting temperature and humidity of air in mine roadways is analyzed in this paper. With the method of neural network, a model of predicting the air temperature and humidity of roadway is established in well. Through a lot of experimental data, the model is trained and has been proved that it can acquired higher prediction accuracy by the instances.