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Modeling of irrigation water quality parameter (sodium adsorption ratio) using hybrid swarm intelligence-based neural networks in a semi-arid environment at SMBA dam, Algeria

Crossref DOI link: https://doi.org/10.1007/s00704-024-05109-z

Published Online: 2024-08-03

Published Print: 2024-08

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

Authors

Achite, Mohammed https://orcid.org/0000-0001-6084-5759
Katipoğlu, Okan Mert https://orcid.org/0000-0001-6421-6087
Elshaboury, Nehal https://orcid.org/0000-0002-7531-4173
Kartal, Veysi

Aktürk, Gaye https://orcid.org/0000-0002-9477-7827
Ertugay, Neşe https://orcid.org/0000-0003-2169-8324
License Information

Text and Data Mining valid from 2024-08-01

Version of Record valid from 2024-08-01
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Article History

Received: 21 December 2023

Accepted: 6 July 2024

First Online: 3 August 2024

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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