1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m16d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP7W/385N5PE |
Repository | sid.inpe.br/mtc-m19/2010/08.25.12.38 (restricted access) |
Last Update | 2010:08.25.12.41.27 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m19/2010/08.25.12.38.34 |
Metadata Last Update | 2018:06.05.04.34.21 (UTC) administrator |
ISSN | 1676-2789 |
Citation Key | AnochiSilv:2009:UsReNe |
Title | Uso de redes neurais artificiais e teoria de conjuntos aproximativos no estudo de padrões climáticos sazonais |
Year | 2009 |
Access Date | 2024, Apr. 28 |
Secondary Type | PRE PN |
Number of Files | 1 |
Size | 467 KiB |
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2. Context | |
Author | 1 Anochi, Juliana Aparecida 2 Silva, José Demisio Simões da |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHH2 |
Group | 1 LAC-CTE-INPE-MCT-BR 2 CTE-CTE-INPE-MCT-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 juliana.anochi@lac.inpe.br 2 demisio@lac.inpe.br |
e-Mail Address | juliana.anochi@gmail.com |
Journal | Learning and Nonlinear Models |
Volume | 7 |
Number | 2 |
History (UTC) | 2010-09-23 11:19:30 :: juliana.anochi@lac.inpe.br -> administrator :: 2009 2012-11-22 14:51:06 :: administrator -> banon :: 2009 2013-02-04 18:27:33 :: banon -> administrator :: 2009 2018-06-05 04:34:21 :: administrator -> juliana.anochi@lac.inpe.br :: 2009 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Abstract | This work presents an Artificial Intelligence based approach for attribute reduction of reanalysis climate data to build a climate forecasting model using artificial neural networks. The methodology uses Rough Sets Theory for retrieving re-levant information from the available data, thus reducing the correlation redundancy among the variables used for forecasting purposes. Neural network based forecasting models are developed for Northeast Brazil, by learning the seasonal behavior of the precipitation variable. |
Area | COMP |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Uso de redes... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCTE > Uso de redes... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | pt |
Target File | vol7-no2-art5_Juliana.pdf |
User Group | administrator banon juliana.anochi@lac.inpe.br |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft |
Read Permission | deny from all and allow from 150.163 |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 |
Next Higher Units | 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/3ET76KE |
URL (untrusted data) | http://www.deti.ufc.br/~lnlm/ |
Dissemination | PORTALCAPES |
Host Collection | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage doi format isbn keywords label lineage mark month nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork versiontype |
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7. Description control | |
e-Mail (login) | juliana.anochi@lac.inpe.br |
update | |
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