Prediction of Subsidence of Buildings as a Result of Earthquakes by Gaussian Process Regression

Author:

Wang Fei,Su Jingyu,Wang Zhitao

Publisher

Springer Science and Business Media LLC

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Reference24 articles.

1. Yuao He, Yadong He, et al., A neural networks based on method for evaluation building settlements due to earthquake liquefaction, China Civil Engineering Journal, 32, No. 1, 71–74 (1999).

2. Zhenzhong Zhang, Dongli Zhang, Hongmei Liu, et al., Comprehensive study on seismic subsidence of loess under earthquake, Northwestern Seismological Journal, 27, No. 1, 36–41 (2005).

3. Wei Wang, Donghui Ma, Jingyu Su, et al., Study of predicting method for earthquake damage to undersoil pipelines system based on rough set and support vector machine, J. Basic Science and Engineering, 17, No. 2, 274–280 (2009).

4. Hongbo Zhao and Xiating Feng, Application of support vector machines function fitting in slope stability evaluation, Chinese Journal of Rock Mechanics and Engineering, 22, No. 2, 241–245 (2003).

5. Jingyi Du, Yuanbin Hou, et al., Parametric selection of support vector regression by genetic algorithms, Systems Engineering and Electronics, 28, No. 9, 1430–1433 (2006).

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