A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks
Author:
Affiliation:
1. School of Civil Environmental and Mining Engineering; University of Adelaide; Adelaide South Australia Australia
2. Veolia Water Asia-Pacific; Technical Department; Shanghai China.
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2012WR012713/fullpdf
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