Table 1 Hyper-parameters of proposed deep architecture
Subnets | Layer category | Hyper-parameters | |||
|---|---|---|---|---|---|
Activation function | Size | Filters | Dropout | ||
Sequence | 1D Convolution | Relu | 2 | 201 | 0.4 |
Relu | 3 | 151 | 0.4 | ||
Relu | 5 | 101 | 0.4 | ||
Dense | Relu | 256 | – | 0.3 | |
Relu | 128 | – | 0 | ||
Sigmoid | 2 | – | – | ||
Physico-O | Dense | Relu | 256 | – | 0.2 |
Relu | 128 | – | 0.1 | ||
Sigmoid | 2 | – | – | ||
Physico-P | Dense | Relu | 512 | – | 0.3 |
Relu | 256 | – | 0.2 | ||
Relu | 128 | – | 0.1 | ||
Sigmoid | 2 | – | – | ||
Physico-H | Dense | Relu | 1024 | – | 0.4 |
Relu | 512 | – | 0.3 | ||
Relu | 256 | – | 0.2 | ||
Relu | 128 | – | 0.1 | ||
Sigmoid | 2 | – | – | ||
Physico-C | 1D Convolution | Relu | 2 | 201 | 0.2 |
Relu | 3 | 151 | 0.1 | ||
Dense | Sigmoid | 2 | – | – | |
Physico-B | 1D Convolution | Relu | 2 | 201 | 0.3 |
Relu | 3 | 151 | 0.2 | ||
Relu | 5 | 101 | 0.1 | ||
Dense | Sigmoid | 2 | – | – | |
Physico-A | 1D Convolution | Relu | 2 | 201 | 0.4 |
Relu | 3 | 151 | 0.3 | ||
Relu | 5 | 101 | 0.2 | ||
Relu | 7 | 51 | 0.1 | ||
Dense | Sigmoid | 2 | – | – | |
Ensemble | Dense | Relu | 7 | – | – |
Sigmoid | 2 | – | – | ||