Table 4 Hyperparameters of proposed models.
From: Modeling freshwater yield: deep learning applications in seawater greenhouses in Iran
Model | Layers characteristics | Value |
|---|---|---|
BiGRU | Bidirectional GRU | 100 |
Bidirectional GRU | 100 | |
Dense/Activation function | 200/ReLU | |
Dense/Activation function | 12-240/Linear | |
BiLSTM | Bidirectional LSTM | 150 |
Bidirectional LSTM | 100 | |
Dense/Activation function | 300/ReLU | |
Dense/Activation function | 12-240/Linear | |
CNN-GRU | Conv1d/Kernel size | 64/2 |
GRU | 100 | |
GRU | 100 | |
Dense/Activation function | 200/ReLU | |
Dense/Activation function | 12-240/Linear | |
CNN-LSTM | Conv1d/Kernel size | 64/2 |
LSTM | 100 | |
LSTM | 100 | |
Dense/Activation function | 200/ReLU | |
Dense/Activation function | 12-240/Linear | |
MLP | Flatten | - |
Dense/Activation function | 256/ReLU | |
Dense/Activation function | 128/ReLU | |
Dense/Activation function | 12-240/Linear |
