Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박선기 | * |
dc.date.accessioned | 2016-08-28T11:08:01Z | - |
dc.date.available | 2016-08-28T11:08:01Z | - |
dc.date.issued | 2005 | * |
dc.identifier.isbn | 3540308180 | * |
dc.identifier.isbn | 9783540308188 | * |
dc.identifier.issn | 0302-9743 | * |
dc.identifier.other | OAK-3141 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/219664 | - |
dc.description.abstract | Typhoon track prediction has mostly been achieved using numerical models which include a high degree of nonlinearity in the computer program. These numerical methods are not perfect and sometimes the forecasted tracks are far from those observed. Many statistical approaches have been utilized to compensate for these shortcomings in numerical modeling. In the present study, a support vector machine, which is well known to be a powerful artificial intelligent algorithm highly available for modeling nonlinear systems, is applied to predict typhoon tracks. In addition, a couple of input dimension reduction methods are also used to enhance the accuracy of the prediction system by eliminating irrelevant features from the input and to improve computational performance. © Springer-Verlag Berlin Heidelberg 2005. | * |
dc.description.sponsorship | IEEE Hong Kong Comput. Intelligence Chapter;Xidian University, China;Hong Kong Baptist University, Hong Kong;Nat. Natural Science Foundation of China;Guangdong University of Technol. | * |
dc.language | English | * |
dc.title | Typhoon track prediction by a support vector machine using data reduction methods | * |
dc.type | Conference Paper | * |
dc.relation.volume | 3801 LNAI | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 503 | * |
dc.relation.lastpage | 511 | * |
dc.relation.journaltitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | * |
dc.identifier.doi | 10.1007/11596448_74 | * |
dc.identifier.wosid | WOS:000234873700074 | * |
dc.identifier.scopusid | 2-s2.0-33646834293 | * |
dc.author.google | Song H.-J. | * |
dc.author.google | Huh S.-H. | * |
dc.author.google | Kim J.-H. | * |
dc.author.google | Ho C.-H. | * |
dc.author.google | Park S.-K. | * |
dc.contributor.scopusid | 박선기(7501828935) | * |
dc.date.modifydate | 20240322114032 | * |