Research Article
Prediction of California Bearing Ratio of Granular Soil by Multivariate Regression and Gene Expression Programming
Table 7
PQ [multinonlinear] regression analysis significant models
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| Model id | Parameters | Model | R 2 | DW |
| PQ 1 | Ln (Gr), Ln (F200) and Ln (S) | | 0.787 | 1.98443 | PQ 2 | Ln (Gr), Ln (F200), Ln (S) PL, LL, MDD and OMC | | 0.85 | 1.32803 | PQ 3 | Gr, F200, and S | CBR=−638 + 5.2Gr+ 0.2F200+ 10.8S+ 0.0366Gr2+ 0.136F2002− 0.0420S2 | 0.794 | 1.85436 | PQ 4 | MDD and OMC | CBR=13434 − 13348MDD+ 28.3OMC+ 3286MDD2− 1.265OMC2 | 0.794 | 1.28769 | PQ 5 | Gr, F200, S, PL, LL, MDD, and OMC | CBR=9184 + 5.1Gr− 4.8F200+ 2.6S+ 7.86LL− 10.01PL− 9284MDD+ 16.6OMC− 0.0074Gr2+ 0.211F2002+ 0.0145S2+ 2257MDD2− 0.790OMC2 | 0.888 | 1.50942 | PQ 6 | Gr, F200, S, MDD and OMC | | 0.871 | 1.64803 | PQ 7 | Ln (Gr), Ln (F200), Ln (S), MDD, and OMC | | 0.88 | 1.52370 |
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