Articles | Volume 14, issue 10
Hydrol. Earth Syst. Sci., 14, 1931–1941, 2010
https://doi.org/10.5194/hess-14-1931-2010
Hydrol. Earth Syst. Sci., 14, 1931–1941, 2010
https://doi.org/10.5194/hess-14-1931-2010

  14 Oct 2010

14 Oct 2010

Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology

A. Elshorbagy et al.

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Subject: Engineering Hydrology | Techniques and Approaches: Mathematical applications
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Cited articles

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Abrahart, R., See, L., and Dawson, C.: Neural Network hydroinformatics: Maintaining scientific rigour, in: Practical hydroinformatics. Computational intelligence and technological developments in water applications, edited by: Abrahart, R., See, L., and Solomatine, D., Springer-Verlag, Berlin, Heidelberg, Germany, 33–47, 2008.
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