Research Article
Water Quality Prediction Based on Hybrid Deep Learning Algorithm
Table 2
Comparison of the existing algorithm with the present study.
| Method | Performance metrics | MSE | MAPE | References |
| Ant bee colony BPNN | DO | 0.683 | 9.43 | [24] | COD | 9.43 | 27.07 |
| LSTM | DO | 0.08 | 9.7 | [6] | COD | 0.03 | 1.7 |
| LSTM–RF | DO | 0.09 | 10.5 | [5] | COD | 0.045 | 2 |
| LSTM–SOD–VGG | DO | 0.225 | 0.014 | [25] | COD | 0.051 | 0.046 |
| LSTM–GWO–FSO | DO | 0.055 | 0.04 | Present study | COD | 0.011 | 0.08 | NH3─N | 0.0045 | 12.8 |
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