Research Article
Seismic Events Prediction Using Deep Temporal Convolution Networks
Table 3
Seven compared methods performance on AAIA′16 seismic dataset.
| Category | Methods | RMSE | MAE | Running time (s) |
| Traditional time series prediction | ARIMA | 2.038 | 1.602 | 800.3 | Classic machine learning method | SVR | 0.698 | 0.586 | 315.6 | RF | 0.455 | 0.405 | 105.5 | Normal recurrent network | LSTM | 0.366 | 0.284 | 1496.2 | Normal temporal CNN network | TCNN | 0.198 | 0.159 | 1347.7 | The proposed method | DCTCNN | | 0.070 | 4729.3 | CNN-LSTM | 0.011 | 0.109 | 2302.4 |
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