Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble
Identifieur interne : 001047 ( Main/Exploration ); précédent : 001046; suivant : 001048Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble
Auteurs : Jiansheng Wu [République populaire de Chine] ; Long Jin [République populaire de Chine] ; Mingzhe Liu [Nouvelle-Zélande]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: In this paper a novel optimization approach is presented. Network architecture and connection weights of neural networks (NN) are evolved by a particle swarm optimization (PSO) method, and then the appropriate network architecture and connection weights are fed into back-propagation (BP) networks. The ensemble strategy is carried out by simple averaging. The applied example is built with monthly mean rainfall of the whole area in Guangxi, China. The results show that the proposed approach can effectively improves convergence speed and generalization ability of NN.
Url:
DOI: 10.1007/11760191_175
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 001A34
- to stream Istex, to step Curation: 001928
- to stream Istex, to step Checkpoint: 000A20
- to stream Main, to step Merge: 001064
- to stream Main, to step Curation: 001047
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble</title><author><name sortKey="Wu, Jiansheng" sort="Wu, Jiansheng" uniqKey="Wu J" first="Jiansheng" last="Wu">Jiansheng Wu</name></author><author><name sortKey="Jin, Long" sort="Jin, Long" uniqKey="Jin L" first="Long" last="Jin">Long Jin</name></author><author><name sortKey="Liu, Mingzhe" sort="Liu, Mingzhe" uniqKey="Liu M" first="Mingzhe" last="Liu">Mingzhe Liu</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:25111D1744C2EBE1284B61782BE0A909511DC5CD</idno><date when="2006" year="2006">2006</date><idno type="doi">10.1007/11760191_175</idno><idno type="url">https://api.istex.fr/document/25111D1744C2EBE1284B61782BE0A909511DC5CD/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001A34</idno><idno type="wicri:Area/Istex/Curation">001928</idno><idno type="wicri:Area/Istex/Checkpoint">000A20</idno><idno type="wicri:doubleKey">0302-9743:2006:Wu J:modeling:meteorological:prediction</idno><idno type="wicri:Area/Main/Merge">001064</idno><idno type="wicri:Area/Main/Curation">001047</idno><idno type="wicri:Area/Main/Exploration">001047</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble</title><author><name sortKey="Wu, Jiansheng" sort="Wu, Jiansheng" uniqKey="Wu J" first="Jiansheng" last="Wu">Jiansheng Wu</name><affiliation wicri:level="1"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mathematics and Computer, Liuzhou Teachers College, Guangxi</wicri:regionArea><wicri:noRegion>Guangxi</wicri:noRegion></affiliation><affiliation><wicri:noCountry code="no comma">E-mail: wjsh2002168@163.com</wicri:noCountry></affiliation></author><author><name sortKey="Jin, Long" sort="Jin, Long" uniqKey="Jin L" first="Long" last="Jin">Long Jin</name><affiliation wicri:level="1"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Guangxi Research Institute of Meteorological Disaster Mitigation, Nanning, Guangxi</wicri:regionArea><wicri:noRegion>Guangxi</wicri:noRegion></affiliation><affiliation><wicri:noCountry code="no comma">E-mail: Jinlong01@163.com</wicri:noCountry></affiliation></author><author><name sortKey="Liu, Mingzhe" sort="Liu, Mingzhe" uniqKey="Liu M" first="Mingzhe" last="Liu">Mingzhe Liu</name><affiliation wicri:level="1"><country xml:lang="fr">Nouvelle-Zélande</country><wicri:regionArea>Institutes of Information Sciences and Technology, Massey University, Private Bag 11222, Palmerston North</wicri:regionArea><wicri:noRegion>Palmerston North</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Nouvelle-Zélande</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2006</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">25111D1744C2EBE1284B61782BE0A909511DC5CD</idno><idno type="DOI">10.1007/11760191_175</idno><idno type="ChapterID">175</idno><idno type="ChapterID">Chap175</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper a novel optimization approach is presented. Network architecture and connection weights of neural networks (NN) are evolved by a particle swarm optimization (PSO) method, and then the appropriate network architecture and connection weights are fed into back-propagation (BP) networks. The ensemble strategy is carried out by simple averaging. The applied example is built with monthly mean rainfall of the whole area in Guangxi, China. The results show that the proposed approach can effectively improves convergence speed and generalization ability of NN.</div></front></TEI><affiliations><list><country><li>Nouvelle-Zélande</li><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Wu, Jiansheng" sort="Wu, Jiansheng" uniqKey="Wu J" first="Jiansheng" last="Wu">Jiansheng Wu</name></noRegion><name sortKey="Jin, Long" sort="Jin, Long" uniqKey="Jin L" first="Long" last="Jin">Long Jin</name></country><country name="Nouvelle-Zélande"><noRegion><name sortKey="Liu, Mingzhe" sort="Liu, Mingzhe" uniqKey="Liu M" first="Mingzhe" last="Liu">Mingzhe Liu</name></noRegion><name sortKey="Liu, Mingzhe" sort="Liu, Mingzhe" uniqKey="Liu M" first="Mingzhe" last="Liu">Mingzhe Liu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001047 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001047 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= ISTEX:25111D1744C2EBE1284B61782BE0A909511DC5CD
|texte= Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble
}}
| This area was generated with Dilib version V0.6.32. |  |