Research Article
Predictive Ability of Improved Neural Network Models to Simulate Pollutant Dispersion
Table 3
Performance statistics of ANN models on the validation data set (Dhaka).
| Model | Number of epochs | | | RMSE | |
| ANN-MT-CO (18 : 4 : 1) | 1800 | 0.001 | 0.6 | 1.89 | 0.69 | ANN-M-CO (12 : 4 : 1) | 1300 | 0.001 | 0.4 | 2.18 | 0.63 | ANN-T-CO (6 : 4 : 1) | 300 | 0.001 | 0.7 | 3.39 | 0.40 | ANN-MT-PM10 (18 : 4 : 1) | 1700 | 0.001 | 0.7 | 2.08 | 0.73 | ANN-M-PM10 (12 : 4 : 1) | 1400 | 0.001 | 0.3 | 2.41 | 0.54 | ANN-T-PM10 (6 : 4 : 1) | 300 | 0.001 | 0.6 | 3.09 | 0.39 | ANN-MT-PM2.5 (18 : 4 : 1) | 1600 | 0.001 | 0.6 | 2.46 | 0.67 | ANN-M-PM2.5 (12 : 4 : 1) | 1300 | 0.001 | 0.4 | 2.41 | 0.51 | ANN-T-PM2.5 (6 : 4 : 1) | 300 | 0.001 | 0.6 | 2.89 | 0.40 |
|
|