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

<div>Proposed prediction model structure; N × 18 × 11 means the dimensions of the input layer, where N is the sample number, 18 represents the time step (3 minutes), and 11 is the kinds of the input parameters. Integers such as 225 and 50 are the nodes in each layer, BN is the batch normalization layer, and Dense is the fully-connected layer.</div>

Computational Intelligence and Neuroscience

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Figure 12

Figure 12: Predicting Slurry Pressure Balance with a Long Short-Term Memory Recurrent Neural Network in Difficult Ground Condition 