A Hybrid Neuro-Fuzzy Algorithm for Prediction of Reference Evapotranspiration-Reference-Cited by-同舟云学术

A Hybrid Neuro-Fuzzy Algorithm for Prediction of Reference Evapotranspiration

Published:2018-08-19 Issue: Volume: Page:235-243
ISSN:2367-3370
Container-title:Recent Advances in Technology Research and Education
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Author:

Mosavi Amir^ORCID,Edalatifar Mohammad

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-99834-3_31

Reference26 articles.

1. Pereira, L., et al.: Crop evapotranspiration estimation with FAO56: past and future. Agric. Water Manag. 147, 4–20 (2015)

2. Allen, R.G., et al.: Crop Evapotranspiration. Guidelines for Computing Crop Water Requirements, vol. 56. FAO Irrigation and Drainage Paper, Roma (1998)

3. Raziei, T., Pereira, L.S.: Spatial variability analysis of reference evapotranspiration in Iran. Agric. Water Manag. 126, 104–118 (2013)

4. Mattar, M.A.: Using gene expression programming in monthly reference evapotranspiration modeling: a case study in Egypt. Agric. Water Manag. 198, 28–38 (2018)

5. Ferreira, C.: Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst. 13(2), 87–129 (2001)

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