Matches in SemOpenAlex for { <https://semopenalex.org/work/W2526104260> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2526104260 endingPage "482" @default.
- W2526104260 startingPage "475" @default.
- W2526104260 abstract "Accurate forecasting of Tropical Cyclone Track (TCT) is very important to cope with the associated disasters. The main objective in the presented study is to develop models to deliver more accurate forecasts of TCT over the South China Sea (SCS) and its coastal regions with 24 h lead time. The model proposed in this study is a Bayesian Neural Network (BNN) based committee machine using bagging (bootstrap aggregating). Two-layered Bayesian neural networks are employed as committee members in the committee machine. Forecast error is measured by calculating the distance between the real position and forecast position of the tropical cyclone. A decrease of 5.6 km in mean forecast error is obtained by our proposed model compared to the stepwise regression model, which is widely used in TCTs forecast. The experimental results indicated that BNN based committee machine using bagging for TCT forecast is an effective approach with improved accuracy." @default.
- W2526104260 created "2016-10-07" @default.
- W2526104260 creator A5002339270 @default.
- W2526104260 creator A5007106275 @default.
- W2526104260 creator A5009804612 @default.
- W2526104260 creator A5071398842 @default.
- W2526104260 date "2016-01-01" @default.
- W2526104260 modified "2023-10-18" @default.
- W2526104260 title "Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea" @default.
- W2526104260 cites W1522932718 @default.
- W2526104260 cites W1971362449 @default.
- W2526104260 cites W1973310094 @default.
- W2526104260 cites W1993143068 @default.
- W2526104260 cites W2026956335 @default.
- W2526104260 cites W2037414802 @default.
- W2526104260 cites W2069782902 @default.
- W2526104260 cites W2084547407 @default.
- W2526104260 cites W2093625674 @default.
- W2526104260 cites W2133010150 @default.
- W2526104260 cites W2134643908 @default.
- W2526104260 cites W4240324316 @default.
- W2526104260 doi "https://doi.org/10.1007/978-3-319-46675-0_52" @default.
- W2526104260 hasPublicationYear "2016" @default.
- W2526104260 type Work @default.
- W2526104260 sameAs 2526104260 @default.
- W2526104260 citedByCount "4" @default.
- W2526104260 countsByYear W25261042602018 @default.
- W2526104260 countsByYear W25261042602021 @default.
- W2526104260 countsByYear W25261042602022 @default.
- W2526104260 crossrefType "book-chapter" @default.
- W2526104260 hasAuthorship W2526104260A5002339270 @default.
- W2526104260 hasAuthorship W2526104260A5007106275 @default.
- W2526104260 hasAuthorship W2526104260A5009804612 @default.
- W2526104260 hasAuthorship W2526104260A5071398842 @default.
- W2526104260 hasConcept C10138342 @default.
- W2526104260 hasConcept C102561126 @default.
- W2526104260 hasConcept C107673813 @default.
- W2526104260 hasConcept C119857082 @default.
- W2526104260 hasConcept C149782125 @default.
- W2526104260 hasConcept C153294291 @default.
- W2526104260 hasConcept C154945302 @default.
- W2526104260 hasConcept C162324750 @default.
- W2526104260 hasConcept C170964787 @default.
- W2526104260 hasConcept C174303752 @default.
- W2526104260 hasConcept C198082294 @default.
- W2526104260 hasConcept C205649164 @default.
- W2526104260 hasConcept C29141058 @default.
- W2526104260 hasConcept C33923547 @default.
- W2526104260 hasConcept C41008148 @default.
- W2526104260 hasConcept C50644808 @default.
- W2526104260 hasConceptScore W2526104260C10138342 @default.
- W2526104260 hasConceptScore W2526104260C102561126 @default.
- W2526104260 hasConceptScore W2526104260C107673813 @default.
- W2526104260 hasConceptScore W2526104260C119857082 @default.
- W2526104260 hasConceptScore W2526104260C149782125 @default.
- W2526104260 hasConceptScore W2526104260C153294291 @default.
- W2526104260 hasConceptScore W2526104260C154945302 @default.
- W2526104260 hasConceptScore W2526104260C162324750 @default.
- W2526104260 hasConceptScore W2526104260C170964787 @default.
- W2526104260 hasConceptScore W2526104260C174303752 @default.
- W2526104260 hasConceptScore W2526104260C198082294 @default.
- W2526104260 hasConceptScore W2526104260C205649164 @default.
- W2526104260 hasConceptScore W2526104260C29141058 @default.
- W2526104260 hasConceptScore W2526104260C33923547 @default.
- W2526104260 hasConceptScore W2526104260C41008148 @default.
- W2526104260 hasConceptScore W2526104260C50644808 @default.
- W2526104260 hasLocation W25261042601 @default.
- W2526104260 hasOpenAccess W2526104260 @default.
- W2526104260 hasPrimaryLocation W25261042601 @default.
- W2526104260 hasRelatedWork W171619588 @default.
- W2526104260 hasRelatedWork W2026823808 @default.
- W2526104260 hasRelatedWork W2068447534 @default.
- W2526104260 hasRelatedWork W228536200 @default.
- W2526104260 hasRelatedWork W2339051591 @default.
- W2526104260 hasRelatedWork W2390972835 @default.
- W2526104260 hasRelatedWork W2411674424 @default.
- W2526104260 hasRelatedWork W244356639 @default.
- W2526104260 hasRelatedWork W4229455890 @default.
- W2526104260 hasRelatedWork W4300167467 @default.
- W2526104260 isParatext "false" @default.
- W2526104260 isRetracted "false" @default.
- W2526104260 magId "2526104260" @default.
- W2526104260 workType "book-chapter" @default.