Long Short-Term Memory Networks and Bayesian Optimization for Predicting the Time-Weighted Average Pressure of Shield Supporting Cycles

<div>Description of the study area: (a) location of the Bulianta Coal Mine; (b) positions and numbers of shields; (c) positions of pressure sensors and PM32 controllers; (d) data acquisition and transmission method and SSRI system.</div>

Geofluids

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Figure 1

Figure 1: Long Short-Term Memory Networks and Bayesian Optimization for Predicting the Time-Weighted Average Pressure of Shield Supporting Cycles 