Advances in Civil Engineering / 2018 / Article / Tab 4 / Research Article
Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis Table 4 Statistical parameters of (V exp /V pred ) for the proposed models and different design equations.
Design equations Mean (V exp /V pred ) SD COV% Minimum Maximum Range RMSE MAE R 2 [12 ] 1.813 0.416 23.06 1.13 3.74 2.61 31.5 24.2 0.575 [13 ] 1.302 0.282 21.63 0.46 2.51 2.05 22.0 14.9 0.792 [18 ] 1.091 0.227 20.85 0.47 1.85 1.37 22.5 11.7 0.783 [16 ] 1.193 0.386 32.49 0.44 2.48 2.03 26.33 17.58 0.703 [17 ] 0.948 0.265 27.99 0.39 1.74 1.34 22.57 14.03 0.782 [14 ] 1.072 0.247 23.1 0.54 1.92 1.38 14.70 9.80 0.908 [15 ] 1.393 0.254 18.35 0.70 2.48 1.78 24.56 16.61 0.742 [4 ] 1.113 0.219 19.67 0.55 1.92 1.36 21.3 12.1 0.805 [19 ] 1.305 0.235 18.01 0.84 2.14 1.29 23.1 18.4 0.772 [7 ] 1.025 0.205 20.03 0.54 1.91 1.36 19.6 11.0 0.835 [1 ] 1.148 0.227 19.81 0.59 1.72 1.13 17.7 10.9 0.865 [20 ] 0.965 0.174 18.06 0.63 1.68 1.05 16.4 10.2 0.885 [10 ] 1.015 0.229 22.51 0.53 1.96 1.43 15.1 9.6 0.905 [21 ] 1.096 0.283 25.87 0.56 2.12 1.56 19.15 11.80 0.843 NLR 1.003 0.174 17.32 0.62 1.61 0.99 10.7 7.3 0.950 GEP 1.007 0.162 16.08 0.66 1.55 0.88 8.2 5.9 0.9709 ANNs 0.998 0.113 11.31 0.71 1.44 0.72 5.3 3.9 0.9877