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Prediction model of seismic response for continuous girder bridge based on machine learning
In order to improve the accuracy of seismic response prediction of continuous girder bridge, this paper proposes a new prediction model of seismic response for continuous girder bridge based on machine learning. Firstly, 927 bridge samples are generated by Latin hypercube sampling algorithm; Then, through machine learning, the prediction model of seismic response of continuous girder bridge is established. Compared with the linear regression, SGD regression and ridge regression algorithm under specific ground motion load, the accuracy of new machine learning prediction model of of seismic response for continuous girder bridge is verified.
Prediction model of seismic response for continuous girder bridge based on machine learning
In order to improve the accuracy of seismic response prediction of continuous girder bridge, this paper proposes a new prediction model of seismic response for continuous girder bridge based on machine learning. Firstly, 927 bridge samples are generated by Latin hypercube sampling algorithm; Then, through machine learning, the prediction model of seismic response of continuous girder bridge is established. Compared with the linear regression, SGD regression and ridge regression algorithm under specific ground motion load, the accuracy of new machine learning prediction model of of seismic response for continuous girder bridge is verified.
Prediction model of seismic response for continuous girder bridge based on machine learning
Wang, Bao (author) / Zhang, Changyong (author) / Guo, Junjun (author) / Yuan, Wancheng (author) / Dang, Xinzhi (author)
2022-03-01
1621445 byte
Conference paper
Electronic Resource
English
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