Research Article
Application of BP Neural Network Improved by Fireworks Algorithm on Suspender Damage Prediction of Long-Span Half-Through Arch Bridge
Table 8
Prediction results of damage degree based on different models.
| Output target value | Prediction result | BPNN | GA-BPNN | PSO-BPNN | FWA-BPNN |
| 0.21 | 0.2011 | 0.2057 | 0.2069 | 0.2074 | 0.35 | 0.3381 | 0.3452 | 0.3473 | 0.3489 | 0.42 | 0.4019 | 0.4096 | 0.4125 | 0.4138 | 0.54 | 0.5237 | 0.5365 | 0.5349 | 0.5372 | 0.63 | 0.6078 | 0.6253 | 0.6234 | 0.6281 | 0.76 | 0.7326 | 0.7488 | 0.7502 | 0.7535 | 0.87 | 0.8469 | 0.8674 | 0.8671 | 0.8682 | 0.98 | 0.9575 | 0.9706 | 0.9713 | 0.9716 |
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