The results of parameter (spread and neurons) tuning in RBFNN architecture.
| Model | Spread | Neurons | Test set | Training data | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R 2 | MSE | RMSE | MAE | WI | R 2 | MSE | RMSE | MAE | WI | |||
| RBF | 7 | 125 | 0.821 | 0.136 | 0.368 | 0.269 | 0.9999907541 | 0.818 | 0.191 | 0.437 | 0.231 | 0.9999997597 |
| Model | Spread | Neurons | Test set | Training data | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R 2 | MSE | RMSE | MAE | WI | R 2 | MSE | RMSE | MAE | WI | |||
| RBF | 7 | 125 | 0.821 | 0.136 | 0.368 | 0.269 | 0.9999907541 | 0.818 | 0.191 | 0.437 | 0.231 | 0.9999997597 |