Predicting monthly evaporation from dam reservoirs using LS-SVR and ANFIS optimized by Harris hawks optimization algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-021-09495-z.pdf
Reference40 articles.
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3. Allawi, M. F., Binti Othman, F., Afan, H. A., Ahmed, A. N., Hossain, M., Fai, C. M., & El-Shafie, A. (2019). Reservoir evaporation prediction modeling based on artificial intelligence methods. Water, 11(6), 1226.
4. Antonopoulos, V. Z., & Antonopoulos, A. V. (2017). Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables. Computers and Electronics in Agriculture, 132, 86–96.
5. Arya Azar, N., Milan, S. G., & Kayhomayoon, Z. (2021). The prediction of longitudinal dispersion coefficient in natural streams using LS-SVM and ANFIS optimized by Harris hawk optimization algorithm. Journal of Contaminant Hydrology, 240, 103781.
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