Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/82055
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Type: Journal article
Title: A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks
Author: Wu, W.
May, R.
Maier, H.
Dandy, G.
Citation: Water Resources Research, 2013; 49(11):7598-7614
Publisher: Amer Geophysical Union
Issue Date: 2013
ISSN: 0043-1397
1944-7973
Statement of
Responsibility: 
Wenyan Wu, Robert J. May, Holger R. Maier, and Graeme C. Dandy
Keywords: artificial neural networks; data variability; data splitting methods; benchmark; validation
Rights: ©2013. American Geophysical Union. All Rights Reserved.
RMID: 0020134303
DOI: 10.1002/2012WR012713
Appears in Collections:Civil and Environmental Engineering publications

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