An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration

Author:

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 AhmedORCID

Funder

Institut Pengurusan dan Pemantauan Penyelidikan, Universiti Malaya

Innovation & Research Management Center (iRMC), Universiti Tenaga Nasional

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference30 articles.

1. Evaluation of several soft computing methods in monthly evapotranspiration modelling;S Gavili;Meteorol Appl,2017

2. Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios;H Sanikhani;Theor Appl Climatol,2018

3. Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree;O Kisi;J Hydrol,2015

4. Worldwide assessment of the Penman–Monteith temperature approach for the estimation of monthly reference evapotranspiration;J Almorox;Theor Appl Climatol. Springer Nature,2016

5. Subset Modeling Basis ANFIS for Prediction of the Reference Evapotranspiration;B Keshtegar;Water Resour Manag,2017

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