Research Article
Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation
Table 1
Data table of the collected fluxes, pressure, and so forth.
| Time | Temperature | Pressure | MLSS of inflow | MLSS of outflow | Total resistance | Fluxes | (h) | (C) | (MPa) | (mg/L) | (mg/L) | () | () |
| 1 | 24 | 0.016 | 343.38 | 70.48 | 0.185 | 46.4 | 2 | 24 | 0.0168 | 378.15 | 83.87 | 0.2403 | 45.5 | 3 | 24 | 0.0175 | 392.42 | 87.06 | 0.2989 | 45.3 | 4 | 24 | 0.0243 | 472.43 | 85.63 | 0.3796 | 42.2 | 5 | 24 | 0.0268 | 483.73 | 59.62 | 0.3957 | 45.1 | 6 | 24 | 0.0291 | 583.16 | 95.05 | 0.441 | 42.2 | 7 | 24 | 0.0325 | 556.43 | 85.46 | 0.5119 | 39.7 | 8 | 24 | 0.0362 | 503.56 | 71.91 | 0.6075 | 37.3 | 9 | 24 | 0.0351 | 591.41 | 105.46 | 0.7143 | 31.4 | 10 | 24 | 0.0385 | 561.85 | 107.63 | 0.8421 | 28.9 | 11 | 24 | 0.0269 | 612.42 | 107.95 | 0.7623 | 21.7 | 12 | 24 | 0.0226 | 655.47 | 81.61 | 0.9737 | 14.5 | 13 | 24 | 0.0198 | 712.43 | 103.98 | 1.1659 | 11.2 | 14 | 24 | 0.0193 | 615.12 | 91.01 | 1.2911 | 10.5 | 15 | 24 | 0.0187 | 715.89 | 95.52 | 1.254 | 9.4 |
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