Research Article
Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network
Table 1
Numerical value of each factor and actual water consumption.
| No. | R1 | R2 | R3 | R4 | R5 | R6 | Actual water consumption |
| Unit | — | m3 | °C | — | m3 | t | t | 1 May | 228 | 310.00 | 28 | 0.3 | 13.00 | 73.46 | 836.171 | 2 May | 198 | 1050.00 | 24 | 0.6 | 57.10 | 72.67 | 1200.363 | 3 May | 219 | 1200.00 | 26 | 0.6 | 9.10 | 83.07 | 1428.350 | 4 May | 255 | 730.00 | 28 | 0.6 | 3.10 | 165.73 | 567.857 | | | | | | | | | 27 June | 229 | 50.00 | 36 | 0.3 | 36.10 | 84.41 | 752.873 | 28 June | 200 | 150.00 | 35 | 0.3 | 3.50 | 44.68 | 758.394 | 29 June | 215 | 780.00 | 32 | 0.6 | 18.30 | 36.38 | 1601.371 | 30 June | 219 | 250.00 | 32 | 0.3 | 4.90 | 107.60 | 702.361 |
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