| Dataset size | 50 |
| Variables used | AT, V, AP and RH |
| Normalization method | 1. mapminmax normalization (default), |
| 2. mapstd normalization, | |
| 3. normalized to the range (0.01, 0.99) | |
| Hidden layer size (#neurons) | 10 |
| Training Function | Levenberg-Marquardt algorithm (trainlm) |