Multi-lead ahead prediction model of reference evapotranspiration utilizing ANN with ensemble procedure

Author:

El-Shafie Ahmed,Alsulami Humod Mosad,Jahanbani Heerbod,Najah Ali

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Reference62 articles.

1. Adeli H, Hung SL (1995) Machine learning—neural networks, genetic algorithms, and fuzzy systems. Wiley, New York

2. Adeli H, Vishnubhotla PR (1992) Parallel processing and parallel machines. In: Adeli H (ed) Parallel processing in computational mechanics. Marcel Dekker, New York, pp 1–20

3. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO irrigation and drainage paper 56, Food and Agricultural Organization of the United Nations (FAO), Rome. Artificial Neural Network. J Irrig Drain Eng 129(6):454–457

4. Awchi TA (2008) Application of radial basis function neural networks for reference evapotranspiration prediction. Al-Rafi-dain Eng 16(1):117–129

5. Birkinshaw SJ, Parkin G, Rao Z (2008) A hybrid neural networks and numerical models approach for predicting groundwater abstraction impacts. J Hydroinformatics 10(2):127–137

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