Crossmark

Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction

Crossref DOI link: https://doi.org/10.1007/s12145-025-01767-3

Published Online: 2025-02-17

Published Print: 2025-03

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

Authors

He, Ni-ni

Wang, Wen-chuan https://orcid.org/0000-0003-1367-5886
Funding

Funding for this research was provided by:

The support of the special project for collaborative innovation of science and technology in 2021 (202121206)
License Information

Text and Data Mining valid from 2025-02-17

Version of Record valid from 2025-02-17
More Information

Article History

Received: 10 November 2024

Accepted: 31 January 2025

First Online: 17 February 2025

Declarations

:

: The authors declare no competing interests.

Document is current

Any future updates will be listed below