Batch size | 50 |
Epochs | 30 |
Optimizer | Adam [24] |
Learning rate | 0.001 [24] |
Loss function | Mean absolute error |
MLP | Input (no. of units=1440) |
 | Batch normalization |
 | Dense (no. of units=512) |
 | Batch normalization |
 | Activation (ReLU) |
 | Dense (no. of units=256) |
 | Batch normalization |
 | Activation (ReLU) |
 | Dense (no. of units=144) |
3D-CNN | Input (shape=(10,12,12)) |
 | Conv3D (filters=32, kernel_size=(3,3,3), |
 | padding=‘same’) |
 | Batch normalization |
 | Activation (ReLU) |
 | AveragePooling3D (pool_size=(2,2,2), |
 | padding=‘same’) |
 | Conv3D (filters=32, kernel_size=(3,3,3), |
 | padding=‘same’) |
 | Batch normalization |
 | Activation (ReLU) |
 | Dense (144) |
LSTM | Input (shape=(10,144)) |
 | LSTM (no. of units=128) |
 | LSTM (no. of units=64) |
 | Dense (no. of units=144) |
Other parameters | Keras default settings |