Table 3.
The definition of the parameter.
| Parameter | Definition |
|---|---|
| O m | The output of the M-th layer |
| T m | The nonlinear transformation |
| (xi, yi) | The given dataset |
| n | The input dimension |
| M | The output dimension |
| wj | The weights vector |
| d j | The bias of the j-th hidden node |
| P | The final output weights |
| q | The output biases of SNN |
| Y= (y1,....,yN)T | The ground-truth label matrix of the dataset |
| X= (x1,....,xN)T | The input matrix |
| s() | The sigmoid function |
| V | The number of hidden nodes |
| A | The output matrix of the hidden layer |