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An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration.
Ehteram, Mohammad; Singh, Vijay P; Ferdowsi, Ahmad; Mousavi, Sayed Farhad; Farzin, Saeed; Karami, Hojat; Mohd, Nuruol Syuhadaa; Afan, Haitham Abdulmohsin; Lai, Sai Hin; Kisi, Ozgur; Malek, M A; Ahmed, Ali Najah; El-Shafie, Ahmed.
Afiliación
  • Ehteram M; Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran.
  • Singh VP; Department of Biological and Agricultural Engineering, Zachry Department of Civil Engineering, Texas A&M University, College Station, Texas, United States of America.
  • Ferdowsi A; Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran.
  • Mousavi SF; Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran.
  • Farzin S; Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran.
  • Karami H; Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran.
  • Mohd NS; Department of Civil Engineering, Faculty of Engineering, University Malaya, Kuala Lumpur, Malaysia.
  • Afan HA; Department of Civil Engineering, Faculty of Engineering, University Malaya, Kuala Lumpur, Malaysia.
  • Lai SH; Department of Civil Engineering, Faculty of Engineering, University Malaya, Kuala Lumpur, Malaysia.
  • Kisi O; Faculty of Natural Sciences and Engineering, Ilia State University, Tbilisi, Georgia.
  • Malek MA; Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia.
  • Ahmed AN; Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia.
  • El-Shafie A; Department of Civil Engineering, Faculty of Engineering, University Malaya, Kuala Lumpur, Malaysia.
PLoS One ; 14(5): e0217499, 2019.
Article en En | MEDLINE | ID: mdl-31150443
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Riego Agrícola Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Riego Agrícola Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Estados Unidos