Research Article
Predicting Slurry Pressure Balance with a Long Short-Term Memory Recurrent Neural Network in Difficult Ground Condition
Table 1
Statistics of output and input PLC data.
| PLC parameter | Unit | Mean | Max. | Min. | Std. |
| SPE (output) | kPa | 172.09 | 493.30 | 0 | 44.28 | SPW (input) | kPa | 176.25 | 489.30 | 0 | 28.99 | AR (input) | mm/min | 4.01 | 50 | 0 | 8.83 | TOR (input) | MN·m | 0.52 | 5.44 | 0 | 0.93 | RS (input) | rpm | 0.39 | 2.07 | 0 | 0.55 | THR (input) | MN | 9.49 | 27.96 | 0.02 | 5.93 | FFR (input) | m3/h | 327.70 | 1482.73 | 0 | 352.73 | RFR (input) | m3/h | 337.51 | 1428.82 | 0 | 365.90 | FSD (input) | g/cm3 | 1.12 | 1.41 | 0 | 0.06 |
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