Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023756471> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2023756471 endingPage "978" @default.
- W2023756471 startingPage "968" @default.
- W2023756471 abstract "Alternative forms of neural networks have been applied to forecast daily river flows on a continuous basis with the purpose of understanding how recent architectures like ANFIS, GRNN and RBF compare with traditional FFBP when monsoon-fed rivers involving significant statistical bias are involved. The forecasts are made at a location called Rajghat along river Narmada in India. Division of yearly data into four seasons and development of separate networks accordingly was found to be more useful than a single network applicable for the entire year. When a variety of error criteria were viewed together the most satisfactory network for all seasons was the radial basis function, which showed better performance then FFBP, GRNN and ANFIS. The FFBP network was found to be equally acceptable as the RBF in seasons other than the monsoon. Generally the peak flows were more satisfactorily modeled by the RBF than FFBP, GRNN and ANFIS. The relatively simpler handling of data non-linearity in FFBP was more attractive than complex ones of ANFIS and GRNN. The representative statistical model, namely response surface method, yielded highly unsatisfactory results compared to any ANN model involved in this study, confirming that the complexity of ANNs is really necessary to model daily river flows." @default.
- W2023756471 created "2016-06-24" @default.
- W2023756471 creator A5046490432 @default.
- W2023756471 creator A5074320734 @default.
- W2023756471 date "2007-06-01" @default.
- W2023756471 modified "2023-10-16" @default.
- W2023756471 title "Suitability of different neural networks in daily flow forecasting" @default.
- W2023756471 cites W1979968252 @default.
- W2023756471 cites W1996150433 @default.
- W2023756471 cites W2007396336 @default.
- W2023756471 cites W2015109197 @default.
- W2023756471 cites W2018790612 @default.
- W2023756471 cites W2019207321 @default.
- W2023756471 cites W2023567628 @default.
- W2023756471 cites W2024520223 @default.
- W2023756471 cites W2028991682 @default.
- W2023756471 cites W2045900108 @default.
- W2023756471 cites W2073596094 @default.
- W2023756471 cites W2078607771 @default.
- W2023756471 cites W2097735268 @default.
- W2023756471 cites W2105391480 @default.
- W2023756471 cites W2108353709 @default.
- W2023756471 cites W2114824684 @default.
- W2023756471 cites W2149723649 @default.
- W2023756471 doi "https://doi.org/10.1016/j.asoc.2006.05.003" @default.
- W2023756471 hasPublicationYear "2007" @default.
- W2023756471 type Work @default.
- W2023756471 sameAs 2023756471 @default.
- W2023756471 citedByCount "89" @default.
- W2023756471 countsByYear W20237564712012 @default.
- W2023756471 countsByYear W20237564712013 @default.
- W2023756471 countsByYear W20237564712014 @default.
- W2023756471 countsByYear W20237564712015 @default.
- W2023756471 countsByYear W20237564712016 @default.
- W2023756471 countsByYear W20237564712018 @default.
- W2023756471 countsByYear W20237564712019 @default.
- W2023756471 countsByYear W20237564712020 @default.
- W2023756471 countsByYear W20237564712021 @default.
- W2023756471 countsByYear W20237564712022 @default.
- W2023756471 countsByYear W20237564712023 @default.
- W2023756471 crossrefType "journal-article" @default.
- W2023756471 hasAuthorship W2023756471A5046490432 @default.
- W2023756471 hasAuthorship W2023756471A5074320734 @default.
- W2023756471 hasConcept C119857082 @default.
- W2023756471 hasConcept C124101348 @default.
- W2023756471 hasConcept C154945302 @default.
- W2023756471 hasConcept C186108316 @default.
- W2023756471 hasConcept C195975749 @default.
- W2023756471 hasConcept C41008148 @default.
- W2023756471 hasConcept C50644808 @default.
- W2023756471 hasConcept C58166 @default.
- W2023756471 hasConcept C98856871 @default.
- W2023756471 hasConceptScore W2023756471C119857082 @default.
- W2023756471 hasConceptScore W2023756471C124101348 @default.
- W2023756471 hasConceptScore W2023756471C154945302 @default.
- W2023756471 hasConceptScore W2023756471C186108316 @default.
- W2023756471 hasConceptScore W2023756471C195975749 @default.
- W2023756471 hasConceptScore W2023756471C41008148 @default.
- W2023756471 hasConceptScore W2023756471C50644808 @default.
- W2023756471 hasConceptScore W2023756471C58166 @default.
- W2023756471 hasConceptScore W2023756471C98856871 @default.
- W2023756471 hasIssue "3" @default.
- W2023756471 hasLocation W20237564711 @default.
- W2023756471 hasOpenAccess W2023756471 @default.
- W2023756471 hasPrimaryLocation W20237564711 @default.
- W2023756471 hasRelatedWork W2114654021 @default.
- W2023756471 hasRelatedWork W2263529430 @default.
- W2023756471 hasRelatedWork W2377425550 @default.
- W2023756471 hasRelatedWork W2389800468 @default.
- W2023756471 hasRelatedWork W2392430664 @default.
- W2023756471 hasRelatedWork W2393731464 @default.
- W2023756471 hasRelatedWork W2763641192 @default.
- W2023756471 hasRelatedWork W2771138448 @default.
- W2023756471 hasRelatedWork W2150377753 @default.
- W2023756471 hasRelatedWork W3162202563 @default.
- W2023756471 hasVolume "7" @default.
- W2023756471 isParatext "false" @default.
- W2023756471 isRetracted "false" @default.
- W2023756471 magId "2023756471" @default.
- W2023756471 workType "article" @default.