Table 4 Setting parameters and initial values.
From: Parallel and distributed chimp-optimized LSTM for oil well-log reconstruction in China
Model | Setting parameters | Initial values |
|---|---|---|
LSTM-COA | Lévy exponent | 1.5 |
LSTM-DLBMPA | Steps factor | 0.6 |
Lévy flight factor | Dynamic | |
LSTM-SBO | Snow ablation rate | 0.8 |
LSTM-HBA | Exploitation factor | 0.4 |
Exploration factor | 0.6 | |
LSTM-QCOA | Quantum rotation angle | π/4 |
XGBoost | Learning rate | 0.1 |
Max depth | 6 | |
n_estimators | 100 | |
LightGBM | Learning rate | 0.05 |
Max depth | 10 | |
Num_leaves | 31 | |
AdaBoost | Base estimator | Decision Tree |
n_estimators | 50 | |
Learning rate | 1.0 | |
CatBoost | Depth | 8 |
Learning rate | 0.03 |
