Adelaide Research and Scholarship: A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction

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Permanent link to this item: http://hdl.handle.net/2440/22962

Type:	Article
Title:	A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction
Author:	Kingston, Greer Bethany Maier, Holger R. Lambert, Martin F.
Citation:	Mathematical and Computer Modelling, 2006; 44 (5-6):499-512
Part of:	Application of Natural Computing Methods to Water Resources and Environmental Modelling / H.R. Maier (ed.)
Publisher:	Pergamon / Elsevier
Issue Date:	2006
ISSN:	0895-7177
School/Discipline:	School of Civil, Environmental and Mining Engineering
Statement of Responsibility:	Greer B. Kingston, Holger R. Maier and Martin F. Lambert
Keywords:	Artificial neural networks; Knowledge extraction; Bayesian methods; Hydrological modelling
RMID:	0020061112
DOI:	10.1016/j.mcm.2006.01.008
Description (link):	http://www.elsevier.com/wps/find/journaldescription.cws_home/623/description#description
Links to content (authorised users):	Check full text options
Appears in Collections:	Civil and Environmental Engineering Publications
View citing articles in:	Google Scholar Scopus