Methods used for quantifying the prediction uncertainty of artificial neural network based hydrologi...
Methods used for quantifying the prediction uncertainty of artificial neural network based hydrologic models
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Application of artificial neural network (ANN) models has been reported to solve variety of water resources and environmental related problems including prediction, forecasting and classification, over the last two decades. Though numerous research studies have witnessed the improved estimate of ANN models, the practical applications are sometimes...
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Full title
Methods used for quantifying the prediction uncertainty of artificial neural network based hydrologic models
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TN_cdi_proquest_journals_1948056995
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1948056995
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ISSN
1436-3240
E-ISSN
1436-3259
DOI
10.1007/s00477-016-1369-5
