Close

1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/42EN8TP
Repositorysid.inpe.br/mtc-m21c/2020/05.07.11.50   (restricted access)
Last Update2020:05.07.11.50.45 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/05.07.11.50.45
Metadata Last Update2021:01.02.22.16.36 (UTC) administrator
ISSN1983-8409
2177-8833
Citation KeyAnochiCampHern:2019:ClPrPr
TitleClimate precipitation prediction using optimal neural network architecture in Southeast Region of Brazil
Year2019
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PN
Number of Files1
Size748 KiB
2. Context
Author1 Anochi, Juliana Aparecida
2 Campos Velho, Haroldo Fraga de
3 Hernández Torres, Reynier
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC3
Group1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
2 LABAC-COCTE-INPE-MCTIC-GOV-BR
3 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 juliana.anochi@inpe.br
2 haroldo.camposvelho@inpe.br
JournalJournal of Computational Interdisciplinary Sciences
Volume10
Number2
Pages69-80
Secondary MarkB3_INTERDISCIPLINAR B3_ENGENHARIAS_II B3_ENGENHARIAS_I B4_ENGENHARIAS_III B5_MEDICINA_II B5_MATERIAIS B5_GEOCIÊNCIAS B5_ENGENHARIAS_IV B5_CIÊNCIAS_AGRÁRIAS_I B5_CIÊNCIA_DA_COMPUTAÇÃO B5_BIODIVERSIDADE C_CIÊNCIAS_BIOLÓGICAS_I C_ASTRONOMIA_/_FÍSICA
History (UTC)2020-05-07 11:50:45 :: simone -> administrator ::
2020-05-07 11:50:46 :: administrator -> simone :: 2019
2020-05-07 11:50:58 :: simone -> administrator :: 2019
2021-01-02 22:16:36 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsmetaheuristic
optimization problem
neural networks
climate prediction
mono-objective problem
multiobjective problem
AbstractNeural network is a technique successfully employed in many applications on several research fields. Despite the potential of a neural network model, its performance is dependent on the definition of the parameters, since the definition of architecture (topology) can significantly influence the training process. Here, a technique for automatic configuration for a neural network is described as an optimization problem combining two different optimization schemes: a mono-objective minimization problem using Multi-Particle Collision Algorithm (MPCA), and a multiobjective minimization problem Nondominated Sorting Genetic Algorithm (NSGA-II). The proposed optimization approaches were tested for the mesoscale seasonal climate prediction for precipitation. The meteorological data were processed by Rough Set Theory to extract relevant information to perform the climate prediction by neural network for the Southeast region of Brazil, with a reduced data set.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Climate precipitation prediction...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Climate precipitation prediction...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Climate precipitation prediction...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 07/05/2020 08:50 1.0 KiB 
4. Conditions of access and use
Languageen
Target Fileanochi_climate.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F2PHGS
8JMKD3MGPCW/43SQKNE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 4
sid.inpe.br/bibdigital/2013/09.22.23.14 4
sid.inpe.br/bibdigital/2021/01.02.22.14 1
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress format isbn label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)simone
update 


Close