A Legendre Neural Network-Based Approach to Multiparameter Identification of Traffic Loads Across the Full Spatiotemporal Domain
The accurate identification of traffic loads acting on bridges provides an effective basis for the traffic control and operation of in-service bridges. To improve the efficiency and accuracy of loading identification, we propose an efficient multiparameter identification method with a Legendre neura...
| Главные авторы: | , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
MDPI AG
2024-12-01
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| Серии: | Sensors |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/1424-8220/24/23/7785 |