Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions-Reference-Cited by-同舟云学术

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

Published:2010-08 Issue:8 Volume:25 Page:891-909
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Maier Holger R.,Jain Ashu,Dandy Graeme C.,Sudheer K.P.

Publisher

Elsevier BV

Subject

Ecological Modelling,Environmental Engineering,Software

Reference233 articles.

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3. Timing error correction procedure applied to neural network rainfall-runoff modelling;Abrahart;Hydrological Sciences Journal (Journal Des Sciences Hydrologiques),2007

4. Runoff modelling through back propagation artificial neural network with variable rainfall-runoff data;Agarwal;Water Resources Management,2004

5. ANN-based sediment yield river basin models for Vamsadhara (India);Agarwal;Water SA,2005

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