Matches in SemOpenAlex for { <https://semopenalex.org/work/W2519184417> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2519184417 endingPage "336" @default.
- W2519184417 startingPage "336" @default.
- W2519184417 abstract "In this study, we developed a model of combined streamflow forecasting based on cross entropy to solve the problems of streamflow complexity and random hydrological processes. First, we analyzed the streamflow data obtained from Wudaogou station on the Huifa River, which is the second tributary of the Songhua River, and found that the streamflow was characterized by fluctuations and periodicity, and it was closely related to rainfall. The proposed method involves selecting similar years based on the gray correlation degree. The forecasting results obtained by the time series model (autoregressive integrated moving average), improved grey forecasting model, and artificial neural network model (a radial basis function) were used as a single forecasting model, and from the viewpoint of the probability density, the method for determining weights was improved by using the cross entropy model. The numerical results showed that compared with the single forecasting model, the combined forecasting model improved the stability of the forecasting model, and the prediction accuracy was better than that of conventional combined forecasting models." @default.
- W2519184417 created "2016-09-23" @default.
- W2519184417 creator A5056141304 @default.
- W2519184417 creator A5072284526 @default.
- W2519184417 creator A5073554511 @default.
- W2519184417 date "2016-09-15" @default.
- W2519184417 modified "2023-10-02" @default.
- W2519184417 title "Combined Forecasting of Streamflow Based on Cross Entropy" @default.
- W2519184417 cites W1526265733 @default.
- W2519184417 cites W1864756200 @default.
- W2519184417 cites W1973118530 @default.
- W2519184417 cites W1986528915 @default.
- W2519184417 cites W2066380881 @default.
- W2519184417 cites W2088405221 @default.
- W2519184417 cites W2132083787 @default.
- W2519184417 cites W2150583452 @default.
- W2519184417 cites W2347140512 @default.
- W2519184417 cites W2350279231 @default.
- W2519184417 doi "https://doi.org/10.3390/e18090336" @default.
- W2519184417 hasPublicationYear "2016" @default.
- W2519184417 type Work @default.
- W2519184417 sameAs 2519184417 @default.
- W2519184417 citedByCount "7" @default.
- W2519184417 countsByYear W25191844172017 @default.
- W2519184417 countsByYear W25191844172019 @default.
- W2519184417 countsByYear W25191844172022 @default.
- W2519184417 countsByYear W25191844172023 @default.
- W2519184417 crossrefType "journal-article" @default.
- W2519184417 hasAuthorship W2519184417A5056141304 @default.
- W2519184417 hasAuthorship W2519184417A5072284526 @default.
- W2519184417 hasAuthorship W2519184417A5073554511 @default.
- W2519184417 hasBestOaLocation W25191844171 @default.
- W2519184417 hasConcept C106301342 @default.
- W2519184417 hasConcept C121332964 @default.
- W2519184417 hasConcept C126645576 @default.
- W2519184417 hasConcept C149782125 @default.
- W2519184417 hasConcept C153294291 @default.
- W2519184417 hasConcept C159877910 @default.
- W2519184417 hasConcept C166957645 @default.
- W2519184417 hasConcept C16828302 @default.
- W2519184417 hasConcept C183195422 @default.
- W2519184417 hasConcept C205649164 @default.
- W2519184417 hasConcept C33923547 @default.
- W2519184417 hasConcept C39432304 @default.
- W2519184417 hasConcept C41008148 @default.
- W2519184417 hasConcept C53739315 @default.
- W2519184417 hasConcept C58640448 @default.
- W2519184417 hasConcept C62520636 @default.
- W2519184417 hasConcept C74256435 @default.
- W2519184417 hasConceptScore W2519184417C106301342 @default.
- W2519184417 hasConceptScore W2519184417C121332964 @default.
- W2519184417 hasConceptScore W2519184417C126645576 @default.
- W2519184417 hasConceptScore W2519184417C149782125 @default.
- W2519184417 hasConceptScore W2519184417C153294291 @default.
- W2519184417 hasConceptScore W2519184417C159877910 @default.
- W2519184417 hasConceptScore W2519184417C166957645 @default.
- W2519184417 hasConceptScore W2519184417C16828302 @default.
- W2519184417 hasConceptScore W2519184417C183195422 @default.
- W2519184417 hasConceptScore W2519184417C205649164 @default.
- W2519184417 hasConceptScore W2519184417C33923547 @default.
- W2519184417 hasConceptScore W2519184417C39432304 @default.
- W2519184417 hasConceptScore W2519184417C41008148 @default.
- W2519184417 hasConceptScore W2519184417C53739315 @default.
- W2519184417 hasConceptScore W2519184417C58640448 @default.
- W2519184417 hasConceptScore W2519184417C62520636 @default.
- W2519184417 hasConceptScore W2519184417C74256435 @default.
- W2519184417 hasIssue "9" @default.
- W2519184417 hasLocation W25191844171 @default.
- W2519184417 hasOpenAccess W2519184417 @default.
- W2519184417 hasPrimaryLocation W25191844171 @default.
- W2519184417 hasRelatedWork W1990612304 @default.
- W2519184417 hasRelatedWork W1993990365 @default.
- W2519184417 hasRelatedWork W2025826259 @default.
- W2519184417 hasRelatedWork W2060741048 @default.
- W2519184417 hasRelatedWork W2969750791 @default.
- W2519184417 hasRelatedWork W3026207957 @default.
- W2519184417 hasRelatedWork W3135902665 @default.
- W2519184417 hasRelatedWork W4200366615 @default.
- W2519184417 hasRelatedWork W4213141569 @default.
- W2519184417 hasRelatedWork W4320013113 @default.
- W2519184417 hasVolume "18" @default.
- W2519184417 isParatext "false" @default.
- W2519184417 isRetracted "false" @default.
- W2519184417 magId "2519184417" @default.
- W2519184417 workType "article" @default.