Prediction of interfaces of geological formations using the multivariate adaptive regression spline method

The design and construction of underground structures are significantly affected by the distribution of geological formations. Prediction of the geological interfaces using limited data has been a difficult task. A multivariate adaptive regression spline (MARS) method capable of modeling nonlinearit...

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Main Authors: Qi, Xiaohui, Wang, Hao, Pan, Xiaohua, Chu, Jian, Chiam, Kiefer
其他作者: School of Civil and Environmental Engineering
格式: Article
語言:English
出版: 2022
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在線閱讀:https://hdl.handle.net/10356/154029
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機構: Nanyang Technological University
語言: English