Neurohydrology: implementation options and a research agenda

This paper recommends further investigation into the use of artificial neural networks for tackling complex hydrological modelling tasks. Three possible modes of implementation are discussed, and a research agenda is proposed--comprising an organizational framework within which to examine and report...

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Bibliographic Details
Published in:Area (London 1969) 1999-06, Vol.31 (2), p.141-149
Main Author: Abrahart, Robert J
Format: Article
Language:English
Subjects:
Artificial neural networks
Bgi / Prodig
Forecasting models
Hydrologic data
Hydrological modeling
Hydrology
Hydrometeorology
Methods. Forecasting
Model theory
Modeling
Modelling
Parametric models
Physical geography
Spatial models
Time series models
Training
Water management
Water resources
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Summary:This paper recommends further investigation into the use of artificial neural networks for tackling complex hydrological modelling tasks. Three possible modes of implementation are discussed, and a research agenda is proposed--comprising an organizational framework within which to examine and report on the potential benefits.
ISSN:0004-0894
1475-4762
DOI:10.1111/j.1475-4762.1999.tb00179.x