Research Article
Optimization Analysis Method of New Orthotropic Steel Deck Based on Backpropagation Neural Network-Simulated Annealing Algorithm
Table 4
Prediction performance of BPNN, RBFNN, and SVM.
| Fatigue details | BPNN | RBFNN | SVM | MSE | MRE | STD | MSE | MRE | STD | MSE | MRE (%) | STD |
| DC | 2.11 | 2.03 | 0.012 | 19.26 | 6.76 | 0.037 | 36.38 | 8.56 | 0.037 | RDI | 0.10 | 1.45 | 0.008 | 1.72 | 5.9 | 0.030 | 2.97 | 7.29 | 0.030 | RD | 4.38 | 3.23 | 0.028 | 13.5 | 6.57 | 0.053 | 17.60 | 6.92 | 0.053 | DL | 0.16 | 5.81 | 0.054 | 0.18 | 6.65 | 0.031 | 0.27 | 6.86 | 0.031 | DC | 0.07 | 5.08 | 0.048 | 0.11 | 5.19 | 0.044 | 0.09 | 4.56 | 0.044 |
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