A novel approach for predicting daily pan evaporation in the coastal regions of Iran using support vector regression coupled with krill herd algorithm model-Reference-Cited by-同舟云学术

A novel approach for predicting daily pan evaporation in the coastal regions of Iran using support vector regression coupled with krill herd algorithm model

Published:2020-07-13 Issue:1-2 Volume:142 Page:349-367
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Guan Yiqing,Mohammadi Babak,Pham Quoc Bao,Adarsh S.,Balkhair Khaled S.,Rahman Khalil Ur,Linh Nguyen Thi Thuy,Tri Doan Quang^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00704-020-03283-4.pdf

Reference72 articles.

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3. Al-Shammari ET, Mohammadi K, Keivani A, Hamid SHA, Akib S, Shamshirband S, Petkovíc D (2016) Prediction of daily dewpoint temperature using a model combining the support vector machine with firefly algorithm. J Irrig Drain Engng 142:04016013. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001015

4. Aybar-Ruiz A, Jiménez-Fernández S, Cornejo-Bueno L, Casanova-Mateo C, Sanz-Justo J, Salvador-González P, Salcedo-Sanz S (2016) A novel grouping genetic algorithm–extreme learning machine approach for global solar radiation prediction from numerical weather models inputs. Sol Energy 132:129–142

5. Dalkili Y, Okkan U, Baykan N (2014) Comparison of different ANN approaches in daily pan evaporation prediction. J Water Resour Prot 6(4):319–326

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