Parameters of classification models based on two neural networks
| Model | Number of input layer nodes | Number of hidden layers | Number of hidden layer nodes | Number of output layer nodes | Objective function | Number of iterations |
|---|---|---|---|---|---|---|
| RBF-based classification model | 4 | 1 | 150 | 1 | Mean square error | 150 |
| BP-based classification model | 4 | 3 | 9 | 1 | Mean square error | 9 |
| Model | Number of input layer nodes | Number of hidden layers | Number of hidden layer nodes | Number of output layer nodes | Objective function | Number of iterations |
|---|---|---|---|---|---|---|
| RBF-based classification model | 4 | 1 | 150 | 1 | Mean square error | 150 |
| BP-based classification model | 4 | 3 | 9 | 1 | Mean square error | 9 |