Predicting Slurry Pressure Balance with a Long Short-Term Memory Recurrent Neural Network in Difficult Ground Condition

<div>The PLC recorded data on ring #174 and # 640, from top to bottom, are the slurry pressure in the excavation chamber (SPE) and the working chamber (SPW), advance rate (AR), cutterhead torque (TOR), total thrust (THR), cutterhead rotation speed (RS), feedline slurry flow rate (FFR), return line slurry flow rate (RFR), and feedline slurry density (FSD), respectively.</div>

Computational Intelligence and Neuroscience

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Figure 8

Figure 8: Predicting Slurry Pressure Balance with a Long Short-Term Memory Recurrent Neural Network in Difficult Ground Condition 