Integrating genetic algorithm and support vector machine for modeling daily reference evapotranspiration in a semi-arid mountain area
By Zhenliang Yin, Xiaohu Wen, Qi Feng, Zhi-bin He, S. Zou, Lin-shan Yang. 2017
64 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/96e16ad7a933df4659a89bdb4befbacbd3473ada
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Mohammad Zounemat‐Kermani
- Behrooz Keshtegar
- Hamed Ghohani Arab
- Ozgur Kisi
- Jan Adamowski
- Kwok-Wing Chau
- Masoud Karbasi
- Ravinesh C. Deo
In Global and Planetary Change
- Mohammad Zounemat‐Kermani
- Hamed Ghohani Arab
- Behrooz Keshtegar
- Ozgur Kisi
- Masoud Karbasi
- Hossein Bonakdari
- Babak Mohammadi
- Babak Jahani
In Water Science and Technology
- Mohammad Zounemat‐Kermani
- Hamed Ghohani Arab
- Behrooz Keshtegar
- Ozgur Kisi
- Masoud Karbasi
- Jan Adamowski
- Ravinesh C. Deo
- Kwok-Wing Chau
Citations in the corpus
- Subset Modeling Basis ANFIS for Prediction of the Reference Evapotranspiration (2018, methodology): “2015) and SVMbased genetic algorithm (Yin et al. 2017) were compared with ANN.”