Research Article
Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks
Table 1
Characteristics of cylindrical samples.
| Number | Parameters | Unit | Maximum | Minimum | Standard deviation | Mean |
| 1 | Compressive strength of concrete | kg/cm2 | 394.00 | 173.00 | 54.98 | 279.27 | 2 | Water-cement ratio | ā | 0.50 | 0.24 | 0.19 | 0.43 | 3 | Maximum size of sand | mm | 50.00 | 5.12 | 14.25 | 23.89 | 4 | Gravel | kg | 1050.00 | 559.00 | 95.71 | 779.13 | 5 | Cement | kg | 549.00 | 243.00 | 72.70 | 385.55 | 6 | Sand 3/8 | kg | 523.00 | 303.00 | 64.45 | 427.05 | 7 | Sand 3/4 | kg | 693.00 | 365.00 | 90.06 | 563.31 | 8 | Coefficient of soft sand | ā | 9.20 | 2.40 | 1.30 | 3.27 |
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