基于机器学习的砖砌体房屋震害快速预测方法

Author:

Liu Li,Shen Junkai,Zhang Lingxin

Publisher

Editorial Office of Earth Science

Subject

General Earth and Planetary Sciences,Computer Science Applications,Building and Construction

Reference38 articles.

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2. Chen, J. Y., Li, J., Han, J. C., et al., 2017. Correlation between Ground Motion Intensity Indexes and Seismic Responses of Frame Structures. Journal of Vibration and Shock, 36(3): 105-112, 144 (in Chinese with English abstract).

3. Gunn, S. R., 1998. Support Vector Machines for Classification and Regression. ISIS Technical Report, 14(1): 5-16.

4. Harirchian, E., Kumari, V., Jadhav, K., et al., 2020. A Machine Learning Framework for Assessing Seismic Hazard Safety of Reinforced Concrete Buildings. Applied Sciences, 10(20): 7153. https://doi.org/10.3390/app10207153

5. Ho, T. K., 1998. The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(8): 832-844. https://doi.org/10.1109/340709601

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