Estimation of Monthly Mean Reference Evapotranspiration in Turkey
By H. Çıtakoğlu, Murat Cobaner, T. Haktanır, Ozgur Kisi. Water resources management, 2013
121 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/3da90283fd8ef08687d3a443ee69232af1c68240
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Mohammad Zounemat‐Kermani
- Xiaohu Wen
- Behrooz Keshtegar
- Jun Wu
- Zhi-bin He
- Jianhua Si
- Haijiao Yu
- H. Shao
In Environmental Engineering
- Mohammad Zounemat‐Kermani
- Xiaohu Wen
- Ozgur Kisi
- Behrooz Keshtegar
- Hamed Ghohani Arab
- Zhi-bin He
- Jianhua Si
- H. Shao
In Global and Planetary Change
- Mohammad Zounemat‐Kermani
- Hamed Ghohani Arab
- Behrooz Keshtegar
- Ozgur Kisi
- Xiaohu Wen
- Zhi-bin He
- Jianhua Si
- H. Shao
Citations in the corpus
- Subset Modeling Basis ANFIS for Prediction of the Reference Evapotranspiration (2018, methodology): “In addition to ANNs, several ANFIS models, which are based on fuzzy logic concepts in the soft computing techniques have been applied to evapotranspiration modeling (Citakoglu et al. 2014; Cobaner 2011; Dogan 2009; Kisi 2016; Kisi and Zounemat-Kermani 2014; Petković et al. 2015; Pour-Ali Baba et al.”
- Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions (2015, background): “Many researchers have applied ANN to estimate ET0 (Chauhan and Shrivastava 2008; Laaboudi et al. 2012; Citakoglu et al. 2013; Kisi and Cengiz 2013; El-Shafie et al. 2014; Rahimikhoob 2014).”