Table 2 Details of the compared models
Models | Details | Input of the model |
|---|---|---|
LR | Linear regression | Features extracted from raw signals |
SVR | Support vector regression | |
MLP | Multi-layer perceptron | |
CNN | Five-layer convolutional Neural network | Raw signals |
MCNN | Multi-scale convolutional Network | |
RNN | Basic RNN | |
Deep RNN | A two-layer RNN | |
LSTM | A one-layer LSTM | |
Deep LSTM | A two-layer LSTM | |
GRU | A one-layer GRU | |
Deep GRU | A two-layer GRU | |
CBLSTM | Convolutional bi-directional LSTMs [18] | |
CGRU | Convolutional GRU |