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Hydrological Sciences Journal Volume 51, 2006 - Issue 6
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Original Articles

Generalized regression neural networks for evapotranspiration modelling

Réseaux de neurones de régression généralisée pour la modélisation de l'évapotranspiration

ÖZGÜR KIŞIEngineering Faculty, Civil Eng. Dept., Hydraulics Division, Erciyes University, 38039, Kayseri, Turkey,
Pages 1092-1105 | Received 26 Jul 2005, Accepted 12 Jul 2006, Published online: 19 Jan 2010

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Manikumari N, Vinodhini G & Murugappan A. (2022) Modelling of Reference Evapotransipration using Climatic Parameters for Irrigation Scheduling using Machine learning. ISH Journal of Hydraulic Engineering 28:sup1, pages 272-281.
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Behrooz Keshtegar, Ozgur Kisi & Mohammad Zounemat-Kermani. (2019) Polynomial chaos expansion and response surface method for nonlinear modelling of reference evapotranspiration. Hydrological Sciences Journal 64:6, pages 720-730.
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Paul Banda, Bilal Cemek & Erdem Küçüktopcu. (2018) Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment. Archives of Agronomy and Soil Science 64:7, pages 916-929.
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Halis Simsek. (2016) Mathematical modeling of wastewater-derived biodegradable dissolved organic nitrogen. Environmental Technology 37:22, pages 2879-2889.
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Sepideh Karimi, Jalal Shiri, Ozgur Kisi & Abbas Ali Shiri. (2016) Short-term and long-term streamflow prediction by using 'wavelet–gene expression' programming approach. ISH Journal of Hydraulic Engineering 22:2, pages 148-162.
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M. Wegehenkel & F. Beyrich. (2014) Modelling hourly evapotranspiration and soil water content at the grass-covered boundary-layer field site Falkenberg, Germany. Hydrological Sciences Journal 59:2, pages 376-394.
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RobertJ. Abrahart, ChristianW. Dawson, LindaM. See, NickJ. Mount & AsaadY. Shamseldin. (2010) Discussion of “Evapotranspiration modelling using support vector machines”* . Hydrological Sciences Journal 55:8, pages 1442-1450.
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OZGUR KIŞI & MESUT ÇIMEN. (2009) Evapotranspiration modelling using support vector machines / Modélisation de l'évapotranspiration à l'aide de ‘support vector machines’. Hydrological Sciences Journal 54:5, pages 918-928.
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ALI AYTEK, AYTAC GUVEN, M. ISHAK YUCE & HAFZULLAH AKSOY. (2009) REPLY to Discussion of “An explicit neural network formulation for evapotranspiration”. Hydrological Sciences Journal 54:2, pages 389-393.
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ALI AYTEK, AYTAC GUVEN, M. ISHAK Yuce & HAFZULLAH AKSOY. (2008) An explicit neural network formulation for evapotranspiration. Hydrological Sciences Journal 53:4, pages 893-904.
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Demetris Koutsoyiannis. (2007) Discussion of “Generalized regression neural networks for evapotranspiration modelling”. Hydrological Sciences Journal 52:4, pages 832-839.
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Hafzullah Aksoy, Aytac Guven, Ali Aytek, M. Ishak Yuce & N. Erdem Unal. (2007) Discussion of “Generalized regression neural networks for evapotranspiration modelling”. Hydrological Sciences Journal 52:4, pages 825-831.
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LINDA SEE, DIMITRI SOLOMATINE, ROBERT ABRAHART & ELENA TOTH. (2007) Hydroinformatics: computational intelligence and technological developments in water science applications—Editorial. Hydrological Sciences Journal 52:3, pages 391-396.
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