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The improved mountain gazelle optimizer for spatiotemporal support vector regression: a novel method for railway subgrade settlement prediction integrating multi-source information

Crossref DOI link: https://doi.org/10.1007/s10489-025-06397-2

Published Online: 2025-03-04

Published Print: 2025-05

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

Authors

Chen, Guangwu

Zhao, Shilin

Li, Peng

Wang, Shilin

Zhou, Xin

Potekhin, Vyacheslav
Funding

Funding for this research was provided by:

the Industrial Support Programme for Universities in Gansu Province (2023CYCZ-32)

the Science and Technology Programme of National Railway Group (N2023G064)

the Science and Technology Guidance Programme of Gansu Province (2020-61-14)

the Major Science and Technology Special Project of Gansu Province (21ZD4WA018, 24RCKA013)

the Gansu Province Graduate “Innovation Star” Program (2025CXZX-666, 2025CXZX-664)
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Text and Data Mining valid from 2025-03-04

Version of Record valid from 2025-03-04
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Article History

Accepted: 18 February 2025

First Online: 4 March 2025

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