Research Article
Prediction of Compressive Strength of Concrete Using the Spearman and PCA-Based BP Neural Network
Table 3
Analysis of correlation between factors of 9 inputs.
| Factors | Cement (kg) | Crushed stone 1 (kg) | Crushed stone 2 (kg) | Crushed stone 3 (kg) | Sand (kg) | Fly ash (kg) | Cementitious material (kg) | Four aggregates (kg) | Water-cement ratio |
| Cement (kg) | 1.00 | -0.86 | -0.81 | -0.90 | -0.78 | 0.90 | 0.68 | -0.86 | -0.40 | Crushed stone 1 (kg) | -0.86 | 1.00 | 0.93 | 0.97 | 0.85 | -0.77 | -0.60 | 0.96 | 0.10 | Crushed stone 2 (kg) | -0.81 | 0.93 | 1.00 | 0.95 | 0.82 | -0.72 | -0.58 | 0.95 | 0.07 | Crushed stone 3 (kg) | -0.90 | 0.97 | 0.95 | 1.00 | 0.88 | -0.81 | -0.65 | 0.97 | 0.22 | Sand (kg) | -0.78 | 0.85 | 0.82 | 0.88 | 1.0z0 | -0.76 | -0.59 | 0.95 | 0.15 | Fly ash (kg) | 0.90 | -0.77 | -0.72 | -0.81 | -0.76 | 1.00 | 0.67 | -0.79 | -0.35 | Cementitious material (kg) | 0.68 | -0.60 | -0.58 | -0.65 | -0.59 | 0.67 | 1.00 | -0.63 | -0.51 | Four aggregates (kg) | -0.86 | 0.96 | 0.95 | 0.97 | 0.95 | -0.79 | -0.63 | 1.00 | 0.13 | Water-cement ratio | -0.40 | 0.10 | 0.07 | 0.22 | 0.15 | -0.35 | -0.51 | 0.13 | 1.00 |
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