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- W4317532049 abstract "The prediction method is Based on BP neural network for thin-walled steel box girders. Based on the monitoring data of structural health monitoring system of thin steel box beam, the prediction method based on BP neural network was used for each member of steel box girder and solved in multiple conditions, so as to obtain the influence of temperature change rules and humidity of steel box beam on the temperature change of each member. The results show that the BP neural network model was highly predictive of the original data. It is necessary to consider the effects of external weather conditions." @default.
- W4317532049 created "2023-01-20" @default.
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- W4317532049 date "2023-01-20" @default.
- W4317532049 modified "2023-10-18" @default.
- W4317532049 title "Temperature field prediction of steel box beam based on BP neural network" @default.
- W4317532049 doi "https://doi.org/10.1201/9781003363217-68" @default.
- W4317532049 hasPublicationYear "2023" @default.
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