Research Article
Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network
Table 6
Prediction results of different models.
| Time | BP (%) | PSO-BP (%) | GA-BP (%) | Pluralistic return (%) |
| 21 June | 2.29 | 1.13 | 1.32 | 32.38 | 22 June | 26.10 | 0.33 | 2.58 | 35.55 | 23 June | 15.06 | 0.73 | 3.71 | 6.33 | 24 June | 45.02 | 1.84 | 8.36 | 14.49 | 25 June | 12.35 | 2.05 | 3.67 | 70.33 | 26 June | 21.23 | 1.13 | 1.76 | 75.47 | 27 June | 17.82 | 4.43 | 3.46 | 35.51 | 28 June | 25.53 | 4.74 | 1.63 | 44.53 | 29 June | 11.99 | 4.19 | 6.89 | 65.58 | 30 June | 46.56 | 4.18 | 7.17 | 35.91 |
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