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1. Identity statement
Reference TypeBook Section
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZGivnJUY/NdvGS
Repositorysid.inpe.br/mtc-m15@80/2006/11.20.12.21   (restricted access)
Last Update2006:11.20.12.21.58 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m15@80/2006/11.20.12.21.59
Metadata Last Update2023:12.29.11.50.53 (UTC) simone
Secondary KeyINPE-14503-PRE/9534
Citation KeyWeigangSzuMarSáCFo:1997:PeCoAm
TitlePeformance comparison among Non-paramatric probability density estimator, radial basis function and adaptive wavelet transform neural networks
Year1997
Access Date2024, May 02
Secondary TypePRE LI
Number of Files1
Size904 KiB
2. Context
Author1 Weigang, Li
2 Szu, Harold H.
3 Marar, João F.
4 Sá, Leonardo Deane Abreu
5 C. Filho, Edson C. B.
Group1
2
3
4 DMA-INPE-MCT-BR
Affiliation1 Department of Meteorological Science
2 Center for Advanced Computer Studies, University of Southwestern Louisiana
3 Department of Computer Science, Universidade Estadual Paulista
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Department of Computer Science, Universidade Federal de Pernambuco
Author e-Mail Address1 wei@met.inpe.br
2 hszu@nswc.navy.mil
3 jfm@di.ufpe.br
4 leo@cptec.inpe.br
5 ecdbcf@di.ufpe.br
EditorSzu, H. H.
e-Mail Addressatus@cptec.inpe.br
Book TitleThe World's knowledge
PublisherSPIE- The International Society for Optical Engineering
Volume3078
Pages128-138
History (UTC)2007-01-08 15:44:58 :: estagiario -> administrator ::
2008-06-10 21:32:52 :: administrator -> estagiario ::
2010-05-11 16:56:45 :: estagiario -> administrator ::
2023-12-29 11:49:29 :: administrator -> simone :: 1997
2023-12-29 11:50:53 :: simone -> estagiario :: 1997
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsartificial neural network
adaptive wavelet transform
density estimation
Paraguay River
wavelet shrinkage
AbstractWavelet Shrinkage, Radial Basis Function (RBF) Networks and Adaptive Wavelet Transform Neural Networks (AWTNN) have been studied for signal reconstructions. We first use these methods to approximate four specific functions which represent various spatially nonhomogeneous phenomena. Next, we apply these methods to analyse a time series of Paraguay River levels. From the preliminary experiments, we show that Wavelet Shrinkage was the best estimator. With similar results, secondly came AWTNN and lastly came RBF networks.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção até 2016 > DMA > Peformance comparison among...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target FileLi.Performance.pdf
User Groupadministrator
estagiario
Visibilityshown
Copy HolderSID/SCD
Read Permissiondeny from all and allow from çã
5. Allied materials
Next Higher Units8JMKD3MGPCW/46JKC45
DisseminationNTRSNASA; BNDEPOSITOLEGAL.
Host Collectioncptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber city copyright creatorhistory descriptionlevel documentstage doi edition format isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarymark tertiarytype translator url
7. Description control
e-Mail (login)estagiario
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