Genetic Programming‐Based Empirical Model for Daily Reference Evapotranspiration Estimation

By A. Guven, Ali Aytek, M. Yuce, H. Aksoy. 2008

99 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Plant Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/207467838d1cb7922c0146d8ecb2a42242e71dc3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Mohammad Zounemat‐Kermani
2. Hamed Ghohani Arab
3. Behrooz Keshtegar
4. Ozgur Kisi
5. Seydou Traoré
6. A. Guven
7. Masoud Karbasi
8. Hossein Bonakdari

In Plant Science

1. Ozgur Kisi
2. Seydou Traoré
3. A. Guven

In Soil Science

1. Seydou Traoré
2. A. Guven
3. Ozgur Kisi
4. Hossein Bonakdari
5. Babak Mohammadi
6. Babak Jahani
7. A. Zaji

Citations in the corpus

• Regional-Specific Numerical Models of Evapotranspiration Using Gene-Expression Programming Interface in Sahel (2012, methodology): “…non-terminal operators are specified, the automatic program generation is carried out by means of a process derived from Darwin's evolution theory, in which, after subsequent generations, new trees (individuals) are produced from former ones via crossover, copying, and mutation (Guven et al. 2008).”
• Subset Modeling Basis ANFIS for Prediction of the Reference Evapotranspiration (2018, methodology): “Determining ET0 is an essential measure for almost all of the hydrologic projects, water resources management, water and irrigation engineering (Guven et al. 2008).”