Table 2 Statistical measures and performances of four learning algorithms on the photodegradation of p -cresol in suspension ZnO
From: Artificial neural network modeling of p-cresol photodegradation
Learning algorithm | The architecture | Testing data | ||
|---|---|---|---|---|
| Â | Â | RMSE | R2 | AAD% |
Quick Propagation (QP) | 4--10--1 | 1.399 | 0.975 | 3.048 |
Incremental Backpropagation (IBP) | 4--8--1 | 1.792 | 0.965 | 4.184 |
Batch Backpropagation (BBP) | 4--18--1 | 2.254 | 0.937 | 5.307 |
Levenberg-Marquardt (LM) | 4--11--1 | 2.221 | 0.942 | 5.579 |