Please use this identifier to cite or link to this item:
Scopus Web of ScienceĀ® Altmetric
Type: Journal article
Title: Real-time deployment of artificial neural network forecasting models: Understanding the range of applicability
Author: Bowden, G.
Maier, H.
Dandy, G.
Citation: Water Resources Research, 2012; 48(10):1-16
Publisher: Amer Geophysical Union
Issue Date: 2012
ISSN: 0043-1397
Statement of
Gavin J. Bowden, Holger R. Maier, and Graeme C. Dandy
Keywords: artificial neural networks; generalization; operational model; outliers; real-time forecasting; self-organizing map
Description: Extent: 16p.
Rights: Copyright status unknown
RMID: 0020123060
DOI: 10.1029/2012WR011984
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

Files in This Item:
File Description SizeFormat 
hdl_75444.pdfPublished version694.41 kBAdobe PDFView/Open

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