Matches in SemOpenAlex for { <https://semopenalex.org/work/W2117771570> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2117771570 abstract "This paper presents a river flood prediction technique using support vector machine (SVM). We investigated the 2-year data covering 2005 and 2006 and 7 crucial river floods that occurred in the downtown of Chiang Mai, Thailand. Past and current river levels of the 3 gauging stations are utilized as the input data of the SVM models to predict the river levels at the downtown station in 1 hour and 7 hours in advance. The performances of the SVM models are compared with that of the multilayer perceptrons (MLP) models. The experimental results show that the SVM models can perform better than the MLP models. Moreover, the results from the blind test sets demonstrate that the SVM models are appropriate for warning people before flood events. The proposed SVM prediction models are also implemented in a real-world flood warning system. The predicted river levels are accessible to public via a Web site, electronic billboards, and warning stations all over the city." @default.
- W2117771570 created "2016-06-24" @default.
- W2117771570 creator A5013485138 @default.
- W2117771570 creator A5081119097 @default.
- W2117771570 creator A5081415699 @default.
- W2117771570 creator A5084209719 @default.
- W2117771570 creator A5086925210 @default.
- W2117771570 date "2008-06-01" @default.
- W2117771570 modified "2023-09-26" @default.
- W2117771570 title "River basin flood prediction using support vector machines" @default.
- W2117771570 cites W1563088657 @default.
- W2117771570 cites W187683021 @default.
- W2117771570 cites W1895735786 @default.
- W2117771570 cites W1964357740 @default.
- W2117771570 cites W2019848683 @default.
- W2117771570 cites W2091009456 @default.
- W2117771570 cites W2097490235 @default.
- W2117771570 cites W2125736403 @default.
- W2117771570 cites W2149298154 @default.
- W2117771570 cites W2155090659 @default.
- W2117771570 cites W2160944830 @default.
- W2117771570 cites W2168308413 @default.
- W2117771570 doi "https://doi.org/10.1109/ijcnn.2008.4634227" @default.
- W2117771570 hasPublicationYear "2008" @default.
- W2117771570 type Work @default.
- W2117771570 sameAs 2117771570 @default.
- W2117771570 citedByCount "6" @default.
- W2117771570 countsByYear W21177715702015 @default.
- W2117771570 countsByYear W21177715702016 @default.
- W2117771570 countsByYear W21177715702020 @default.
- W2117771570 countsByYear W21177715702022 @default.
- W2117771570 crossrefType "proceedings-article" @default.
- W2117771570 hasAuthorship W2117771570A5013485138 @default.
- W2117771570 hasAuthorship W2117771570A5081119097 @default.
- W2117771570 hasAuthorship W2117771570A5081415699 @default.
- W2117771570 hasAuthorship W2117771570A5084209719 @default.
- W2117771570 hasAuthorship W2117771570A5086925210 @default.
- W2117771570 hasConcept C119857082 @default.
- W2117771570 hasConcept C12267149 @default.
- W2117771570 hasConcept C124101348 @default.
- W2117771570 hasConcept C154945302 @default.
- W2117771570 hasConcept C166957645 @default.
- W2117771570 hasConcept C179717631 @default.
- W2117771570 hasConcept C183195422 @default.
- W2117771570 hasConcept C205649164 @default.
- W2117771570 hasConcept C2776556313 @default.
- W2117771570 hasConcept C29825287 @default.
- W2117771570 hasConcept C41008148 @default.
- W2117771570 hasConcept C50644808 @default.
- W2117771570 hasConcept C60908668 @default.
- W2117771570 hasConcept C74256435 @default.
- W2117771570 hasConcept C76155785 @default.
- W2117771570 hasConceptScore W2117771570C119857082 @default.
- W2117771570 hasConceptScore W2117771570C12267149 @default.
- W2117771570 hasConceptScore W2117771570C124101348 @default.
- W2117771570 hasConceptScore W2117771570C154945302 @default.
- W2117771570 hasConceptScore W2117771570C166957645 @default.
- W2117771570 hasConceptScore W2117771570C179717631 @default.
- W2117771570 hasConceptScore W2117771570C183195422 @default.
- W2117771570 hasConceptScore W2117771570C205649164 @default.
- W2117771570 hasConceptScore W2117771570C2776556313 @default.
- W2117771570 hasConceptScore W2117771570C29825287 @default.
- W2117771570 hasConceptScore W2117771570C41008148 @default.
- W2117771570 hasConceptScore W2117771570C50644808 @default.
- W2117771570 hasConceptScore W2117771570C60908668 @default.
- W2117771570 hasConceptScore W2117771570C74256435 @default.
- W2117771570 hasConceptScore W2117771570C76155785 @default.
- W2117771570 hasLocation W21177715701 @default.
- W2117771570 hasOpenAccess W2117771570 @default.
- W2117771570 hasPrimaryLocation W21177715701 @default.
- W2117771570 hasRelatedWork W1915129189 @default.
- W2117771570 hasRelatedWork W2117771570 @default.
- W2117771570 hasRelatedWork W2979979539 @default.
- W2117771570 hasRelatedWork W3175559382 @default.
- W2117771570 hasRelatedWork W3183160603 @default.
- W2117771570 hasRelatedWork W3185179407 @default.
- W2117771570 hasRelatedWork W4220975826 @default.
- W2117771570 hasRelatedWork W4231994957 @default.
- W2117771570 hasRelatedWork W4280611221 @default.
- W2117771570 hasRelatedWork W4361795583 @default.
- W2117771570 isParatext "false" @default.
- W2117771570 isRetracted "false" @default.
- W2117771570 magId "2117771570" @default.
- W2117771570 workType "article" @default.