Research on a Mine Gas Concentration Forecasting Model Based on a GRU Network
This paper proposes a mine gas concentration forecasting model using a Gated Recurrent Unit (GRU) network. The model outperformed SVR, BPNN, RNN, and LSTM models in prediction accuracy and efficiency on a large dataset, but was less accurate than RNN and LSTM on smaller datasets.