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Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling.
Heddam, Salim; Ptak, Mariusz; Sojka, Mariusz; Kim, Sungwon; Malik, Anurag; Kisi, Ozgur; Zounemat-Kermani, Mohammad.
Afiliação
  • Heddam S; Faculty of Science, Agronomy Department, Hydraulics Division, Laboratory of Research in Biodiversity Interaction Ecosystem and Biotechnology, University 20 Août 1955, Route El Hadaik, BP 26, Skikda, Algeria. heddamsalim@yahoo.fr.
  • Ptak M; Department of Hydrology and Water Management, Adam Mickiewicz University, Krygowskiego 10, 61-680, Poznan, Poland.
  • Sojka M; Department of Land Improvement, Environment Development and Spatial Management, Poznan University of Life Sciences, Piatkowska 94E, 60-649, Poznan, Poland.
  • Kim S; Department of Railroad Construction and Safety Engineering, Dongyang University, Yeongju, 36040, Republic of Korea.
  • Malik A; Regional Research Station, Punjab Agricultural University, Bathinda-151001, Punjab, India.
  • Kisi O; Department of Civil Engineering, School of Technology, IIia State University, 0162, Tbilisi, Georgia.
  • Zounemat-Kermani M; Department of Civil Engineering, University of Applied Sciences, 23562, Lübeck, Germany.
Environ Sci Pollut Res Int ; 29(47): 71555-71582, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35604598
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Rios / Máquina de Vetores de Suporte Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Rios / Máquina de Vetores de Suporte Idioma: En Ano de publicação: 2022 Tipo de documento: Article