Table 8 Hyperparameters values in the proposed model.
From: Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM
Component | Hyperparameter | Value/description |
|---|---|---|
Fuzzy C-means | Number of clusters (C) | 3 |
Fuzziness coefficient (m) | 2 | |
Max iterations | 1000 | |
Error tolerance | 0.005 | |
SVM | Kernel types | Linear, Gaussian, Polynomial, Sigmoid |
Regularization (C) | Tuned between 0.1 and 10 | |
Gamma (Ī³) (for RBF/sigmoid) | Auto/Tuned | |
CNN | Filters | 32, 64 |
Kernel size | (3, 3) | |
Activation | ReLU | |
Pool size | (1, 2) | |
Optimizer | Adam | |
Batch size | 64 | |
Epochs | 50 | |
LSTM | Units | 100 |
Return sequences | False | |
Dropout | 0.5 | |
Optimizer | Adam | |
Batch size | 64 | |
| Ā | Epochs | 50 |
