Gas Emission Prediction Based on Coal Mine Operating Data

Abstract

Currently, mine accidents are recurring disasters. Among them, the coal mine gas emission data detection is important information that needed to be focus on. At first, the actual data from coal mines are gotten as a part of training and testing data. Then, BP neural network model and RBF neural network model was constructed by using Matlab. Finally, the actual data is ready for the simulation; select 15 sets of data to predict the three sets of data. BP neural network is an effective mean for gas emission, and the performance of BP neural network prediction method is better than RBF neural network method.