Table 4 Performance comparison with closely related water quality forecasting models.
From: Aquaculture 4.0: hybrid neural network multivariate water quality parameters forecasting model
Error Statistics | LSTM NN | BPNN | SAE-LSTM NN | SAE-BPNN | EEMD–MLR–LSTM NN |
|---|---|---|---|---|---|
Run Time (s) | 23.2 | 3.6 | 29.6 | 9.1 | 3.7 |
MAE | 0.1590 | 0.4530 | 0.1260 | 0.4060 | 0.0375 |
MSE | 0.0398 | 0.3013 | 0.0242 | 0.2428 | 0.0024 |
RMSE | 0.1995 | 0.5489 | 0.1556 | 0.4927 | 0.0489 |
MAPE | 0.0160 | 0.0450 | 0.0130 | 0.0419 | 0.0072 |
