Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/16751
Citations
Scopus Web of ScienceĀ® Altmetric
?
?
Type: Journal article
Title: Input determination for neural network models in water resources applications. Part 1 - background and methodology
Author: Bowden, G.
Dandy, G.
Maier, H.
Citation: Journal of Hydrology, 2005; 301(1-4):75-92
Publisher: Elsevier Science BV
Issue Date: 2005
ISSN: 0022-1694
1879-2707
Statement of
Responsibility: 
Gavin J. Bowden, Graeme C. Dandy and Holger R. Maier
Keywords: Artificial neural networks; Input determination; Self-organizing map; Genetic algorithm; Mutual information; General regression neural network
RMID: 0020051683
DOI: 10.1016/j.jhydrol.2004.06.021
Description (link): http://www.elsevier.com/wps/find/journaldescription.cws_home/503343/description#description
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.