Table 2 The parameter settings for the predictive models.
From: Modeling energy consumption indexes of an industrial cement ball mill for sustainable production
Parameter | Main Elevator | Motor 1 Current | Motor 2 Current |
|---|---|---|---|
CatBoost | |||
Learning rate | 0.156 | 0.03 | 0.03 |
Maximum number of trees | 1000 (Default) | 1000 (Default) | 1000 (Default) |
Maximum depth of trees | 6 | 6 | 6 |
XGBoost | |||
Learning rate | 0.26 | 0.26 | 0.26 |
Maximum number of trees | 29 | 58 | 35 |
Maximum depth of trees | 18 | 18 | 26 |
γ | 1.28 | 2.83 | 7.62 |
Random Forest | |||
Maximum number of trees | 99 | 119 | 77 |
Support Vector Regression | |||
Kernel | RBF | RBF | RBF |
Convolutional Neural Network | |||
Activation Function | ReLU | ReLU | ReLU |
Training Epochs | 100 | 100 | 100 |
Batch Size | 32 | 32 | 32 |
Optimizer | Adaptive Moment Estimation | ||
