Prediction of suspended sediment loading by means of hybrid artificial intelligence approaches
Crossref DOI link: https://doi.org/10.1007/s11600-019-00374-3
Published Online: 2019-10-11
Published Print: 2019-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yilmaz, Banu
Aras, Egemen http://orcid.org/0000-0002-7553-9313
Kankal, Murat
Nacar, Sinan
Text and Data Mining valid from 2019-10-11
Version of Record valid from 2019-10-11
Article History
Received: 24 April 2019
Revised: 27 August 2019
Accepted: 1 October 2019
First Online: 11 October 2019
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.