Research Article
Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete
Table 7
Intermediate mix proposition of RHA with PPC-test dataset of ANN2.
| S. no. | PPC (%) | RHA (%) | Predicted SC | Predicted IST (min) | Predicted FST (min) | Predicted CS-28 days (N/mm2) |
| 1 | 99 | 1 | 0.398 | 87.325 | 199.2 | 31.344 | 2 | 98 | 2 | 0.398 | 87.493 | 209.19 | 31.195 | 3 | 97 | 3 | 0.398 | 87.856 | 223.094 | 31.032 | 4 | 95 | 5 | 0.398 | 90.009 | 269.427 | 30.644 | 5 | 94 | 6 | 0.398 | 92.861 | 306.139 | 30.402 | 6 | 93 | 7 | 0.398 | 98.624 | 354.724 | 30.11 | 7 | 92 | 8 | 0.398 | 110.131 | 416.252 | 29.738 | 8 | 89 | 11 | 0.398 | 209.562 | 655.175 | 27.277 | 9 | 87 | 13 | 0.4 | 280.187 | 803.255 | 24.281 | 10 | 86 | 14 | 0.402 | 301.353 | 859.577 | 23.078 | 11 | 85 | 15 | 0.406 | 317.674 | 903.067 | 22.192 | 12 | 83 | 17 | 0.418 | 346.656 | 958.797 | 21.142 | 13 | 82 | 18 | 0.426 | 361.054 | 975.525 | 20.839 | 14 | 81 | 19 | 0.432 | 375.411 | 987.68 | 20.602 | 15 | 80 | 20 | 0.437 | 389.161 | 996.587 | 20.404 |
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