Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3D53LKS
Repositorydpi.inpe.br/plutao/2012/11.28.16.47.57
Last Update2015:03.16.17.03.40 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2012/11.28.16.47.58
Metadata Last Update2018:06.05.00.02.06 (UTC) administrator
Secondary KeyINPE--PRE/
Labellattes: 2720072834057575 2 SambattiAnLuCaShCa:2012:MPMeAu
Citation KeySambattiAnLuCaShCa:2012:MPMeAu
TitleMPCA Meta-Heuristics for automatic architecture optimization of a supervised artificial neural network
Year2012
Access Date2024, May 17
Secondary TypePRE CI
Number of Files1
Size147 KiB
2. Context
Author1 Sambatti, Sabrina Bergoch Monteiro
2 Anochi, Juliana Aparecida
3 Luz, Eduardo F. Pacheco da
4 Carvalho, Adenilson R.
5 Shiguemori, Elcio Hideiti
6 Campos Velho, Haroldo Fraga de
Resume Identifier1
2
3
4
5
6 8JMKD3MGP5W/3C9JHC3
Group1 LAC-CTE-INPE-MCTI-GOV-BR
2 LAC-CTE-INPE-MCTI-GOV-BR
3
4
5
6 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3
4 SERPRO
5 Instituto de Estudos Avançado (IEAv)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 sabrinabms@gmail.com
2 juliana.anochi@lac.inpe.br
3
4
5
6 haroldo@lac.inpe.br
e-Mail Addressjuliana.anochi@lac.inpe.br
Conference NameWorld Congress on Computational Mechanics, 10 (WCCM).
Conference LocationSão Paulo
Date2012
Book TitleProceedings
Tertiary TypePaper
History (UTC)2012-11-28 23:06:29 :: lattes -> marciana :: 2012
2012-12-04 11:13:32 :: marciana -> administrator :: 2012
2018-06-05 00:02:06 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typefinaldraft
AbstractArtificial neural networks (ANN) has been studied intensively, but there still are many unresolved issues. The search and definition of an optimal architecture remains a very relevant ANN research topic. The search space of neural network topology, each point represents a possible architecture. Associating each point to a performance level relies on the a priori establishment of some optimality criterion. Here, a new meta-heuristics, multi-particle collision algorithm (MPCA) was applied to design an optimum architecture for a supervised ANN. The MPCA optimization algorithm emulates a collision process of multiple particles inspired in processes of a neutron traveling in a nuclear reactor. The multilayer perceptron (MLP) was the neural network adopted here, and backpropagation strategy was used for calculating of the weight of connections to the MLP-NN. The MLP-NN configured by this optimal or inverse designs was applied to predict the seasonal mesoscale climate. The dataset for trainning is obtained from NCEP-NOAA reanalysis and from a metherological model. In order to reduce the dimension of the search space to find the optimized ANN, it is considered the following: three activation functions, up to three hidden layers, and up to 32 neurons per hidden layer. The comparison is performed between the ANN configuration obtained by automatic process and another configuration proposed by a human specialist.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > MPCA Meta-Heuristics for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3D53LKS
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3D53LKS
Languageen
Target Filesambatti_mpca.pdf
User Grouplattes
marciana
Reader Groupadministrator
marciana
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 3
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor format isbn issn keywords lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url volume
7. Description control
e-Mail (login)marciana
update 


Close