Table 3 Comparison of prediction models with different parameters at each site.
From: Research on water quality prediction of Jiangshan Port based on SCV-CBA model
Monitor station | Water quality parameters | model | Evaluating indicator | |||
|---|---|---|---|---|---|---|
MSE | RMSE | MAE | R2 | |||
Shuang Gangkou | CODMn | SVM | 0.19903 | 0.44612 | 0.23346 | 0.66215 |
TCN | 0.17630 | 0.41988 | 0.23133 | 0.70063 | ||
TCN-GRU | 0.16701 | 0.40866 | 0.21457 | 0.60638 | ||
Parallel-transformer-LSTM | 0.16477 | 0.40592 | 0.28539 | 0.77686 | ||
SCV-CBA | 0.07755 | 0.27849 | 0.16451 | 0.84659 | ||
Xia tong | TN | SVM | 0.01125 | 0.10607 | 0.08101 | 0.86515 |
TCN | 0.01131 | 0.10634 | 0.07878 | 0.86308 | ||
TCN-GRU | 0.01058 | 0.10288 | 0.07823 | 0.86336 | ||
Parallel-transformer-LSTM | 0.02066 | 0.14374 | 0.10085 | 0.87107 | ||
SCV-CBA | 0.00692 | 0.08321 | 0.06562 | 0.91117 | ||
