Research Article
Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks
Table 5
Coefficients of MLR model.
| | | SE coef. | Coef. | Predictor | Number |
| −600 | 108 | −5.55 | 0 | Constant | Constant parameter | 1 | 0.1685 | 0.1601 | 1.05 | 0.295 | | Water-cement ratio | 2 | 0.1762 | 0.3456 | 0.51 | 0.611 | | Maximum size of sand | 3 | 0.20611 | 0.05862 | 3.52 | 0.001 | | Gravel | 4 | 1.01053 | 0.06292 | 16.06 | 0 | | Cement | 5 | 0.4264 | 0.2541 | 1.68 | 0.096 | | Sand 3/8 | 6 | 0.2452 | 0.1705 | 1.44 | 0.153 | | Sand 3/4 | 7 | −0.529 | 1.756 | −0.3 | 0.764 | | Coefficient of soft sand | 8 |
|
|