Table 4.
Hybrid models | n. |
---|---|
BiLSTM + CNN | 2 |
CNN-XGboost | 1 |
DCDNN + CNN | 1 |
CNN + LSTM | 1 |
CNN + LRCN | 1 |
CNN + RNN | 1 |
CNN + BGRU | 1 |
CNN + SVR | 1 |
Random Forest + SVM | 1 |
SVM + XGBoost + Linear regression | 1 |
Hybrid models | n. |
---|---|
BiLSTM + CNN | 2 |
CNN-XGboost | 1 |
DCDNN + CNN | 1 |
CNN + LSTM | 1 |
CNN + LRCN | 1 |
CNN + RNN | 1 |
CNN + BGRU | 1 |
CNN + SVR | 1 |
Random Forest + SVM | 1 |
SVM + XGBoost + Linear regression | 1 |