Multi-time-scale input approaches for hourly-scale rainfall–runoff modeling based on recurrent neura...
Multi-time-scale input approaches for hourly-scale rainfall–runoff modeling based on recurrent neural networks
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Author / Creator
Publisher
London: IWA Publishing
Journal title
Language
English
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Publisher
London: IWA Publishing
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Scope and Contents
Contents
This study proposes two effective approaches to reduce the required computational time of the training process for time-series modeling through a recurrent neural network (RNN) using multi-time-scale time-series data as input. One approach provides coarse and fine temporal resolutions of the input time-series data to RNN in parallel. The other conc...
Alternative Titles
Full title
Multi-time-scale input approaches for hourly-scale rainfall–runoff modeling based on recurrent neural networks
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f36464a284db4bdab36e3713acd52fd7
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f36464a284db4bdab36e3713acd52fd7
Other Identifiers
ISSN
1464-7141
E-ISSN
1465-1734
DOI
10.2166/hydro.2021.095
