Comparison of methods used for quantifying prediction interval in artificial neural network hydrologic models Article Swipe
K. S. Kasiviswanathan
,
K. P. Sudheer
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1007/s40808-016-0079-9
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1007/s40808-016-0079-9
Related Topics
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s40808-016-0079-9
- https://link.springer.com/content/pdf/10.1007%2Fs40808-016-0079-9.pdf
- OA Status
- bronze
- Cited By
- 36
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2288701971
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2288701971Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s40808-016-0079-9Digital Object Identifier
- Title
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Comparison of methods used for quantifying prediction interval in artificial neural network hydrologic modelsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2016Year of publication
- Publication date
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2016-01-23Full publication date if available
- Authors
-
K. S. Kasiviswanathan, K. P. SudheerList of authors in order
- Landing page
-
https://doi.org/10.1007/s40808-016-0079-9Publisher landing page
- PDF URL
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https://link.springer.com/content/pdf/10.1007%2Fs40808-016-0079-9.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007%2Fs40808-016-0079-9.pdfDirect OA link when available
- Concepts
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Hydrograph, Prediction interval, Artificial neural network, Interval (graph theory), Watershed, Bayesian probability, Hydrological modelling, Computer science, Statistics, Data mining, Mathematics, Artificial intelligence, Machine learning, Geography, Drainage basin, Geology, Cartography, Climatology, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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36Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 2, 2023: 5, 2022: 1, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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