| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/3HG7JPH |
| Repository | sid.inpe.br/plutao/2014/12.01.13.22.09 |
| Last Update | 2015:02.12.12.22.55 (UTC) administrator |
| Metadata Repository | sid.inpe.br/plutao/2014/12.01.13.22.10 |
| Metadata Last Update | 2018:06.04.23.39.41 (UTC) administrator |
| Label | lattes: 2720072834057575 1 AnochiCampSilv:2014:NeNeSt |
| Citation Key | AnochiCampSilv:2014:NeNeSt |
| Title | Neural networks in the study of climate patterns seasonal  |
| Year | 2014 |
| Access Date | 2024, May 17 |
| Secondary Type | PRE CI |
| Number of Files | 1 |
| Size | 264 KiB |
| 2. Context | |
| Author | 1 Anochi, Juliana Aparecida 2 Campos Velho, Haroldo Fraga de 3 Silva, José Demisio Simões da |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHC3 3 8JMKD3MGP5W/3C9JHH2 |
| Group | 1 CAP-COMP-SPG-INPE-MCTI-GOV-BR 2 LAC-CTE-INPE-MCTI-GOV-BR 3 LAC-CTE-INPE-MCTI-GOV-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 juliana.anochi@lac.inpe.br 2 haroldo@lac.inpe.br |
| e-Mail Address | marcelo.pazos@inpe.br |
| Conference Name | CCIS. |
| Conference Location | Asuncion |
| Date | 2014 |
| Book Title | Proceedings |
| History (UTC) | 2014-12-01 13:22:10 :: lattes -> administrator :: 2018-06-04 23:39:41 :: administrator -> marcelo.pazos@inpe.br :: 2014 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Keywords | Climate Prediction Neural Networks Rough Sets Theory |
| Abstract | This work describes an Artificial Intelligence based technique to prepare data for constructing a climate prediction empirical model from reanalysis data in the South region of Brazil using Artificial Neural Network (ANN). The method uses Rough Sets Theory (RST) to reduce the amount of variables. The input of ANN there is two kinds of data: the variables chosen by the RST and full variables data to learn the seasonal behavior of the variable precipitation. |
| Area | COMP |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Neural networks in... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Neural networks in... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/8JMKD3MGP3W/3HG7JPH |
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W/3HG7JPH |
| Language | en |
| Target File | Anochi_neural.pdf |
| User Group | lattes marcelo.pazos@inpe.br |
| Reader Group | administrator marcelo.pazos@inpe.br |
| Visibility | shown |
| Read Permission | allow from all |
| Update Permission | not transferred |
| 5. Allied materials | |
| Linking | Trabalho não Vinculado à Tese/Dissertação |
| Mirror Repository | iconet.com.br/banon/2006/11.26.21.31 |
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/3F2PHGS |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.49.40 2 sid.inpe.br/bibdigital/2013/10.12.22.16 1 |
| URL (untrusted data) | http://ccis2014.pol.una.py/ |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor format isbn issn lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarytype type volume |
| 7. Description control | |
| e-Mail (login) | marcelo.pazos@inpe.br |
| update | |