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Prediction of landslide displacement using multi-kernel extreme learning machine and maximum information coefficient based on variational mode decomposition: a case study in Shaanxi, China

Crossref DOI link: https://doi.org/10.1007/s11069-021-04713-w

Published Online: 2021-04-01

Published Print: 2021-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ling, Qing

Zhang, Qin

Zhang, Jing

Kong, Lingjie

Zhang, Weiqi

Zhu, Li
Funding

Funding for this research was provided by:

Key Technologies Research and Development Program (2018YFC1505100)

National Natural Science Foundation of China (41731066)

Natural Science Basic Research Plan in Shaanxi Province of China (2016JM4005)

Natural Science Foundation in Gansu Province of China (2017GS10845, 20JR10RA180, 20JR10RA179)

Fundamental Research Funds for the Central Universities (CHD300102269104, CHD300102268204)

National Natural Science Foundation of China (41674001)
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Text and Data Mining valid from 2021-04-01

Version of Record valid from 2021-04-01
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Article History

Received: 30 October 2019

Accepted: 20 March 2021

First Online: 1 April 2021

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