| 1. Identity statement | |
| Reference Type | Book Section |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/3RANHUH |
| Repository | sid.inpe.br/plutao/2018/06.18.15.56.30 (restricted access) |
| Last Update | 2018:12.21.09.53.06 (UTC) simone |
| Metadata Repository | sid.inpe.br/plutao/2018/06.18.15.56.31 |
| Metadata Last Update | 2019:01.07.14.11.41 (UTC) simone |
| DOI | 10.1016/B978-0-12-811788-0.00013-5 |
| ISBN | 0128117893 |
| Label | lattes: 2470949000200852 4 SouzaMKAVDSJB:2018:ClMaPa |
| Citation Key | SouzaMKAVDSJB:2018:ClMaPa |
| Title | Classification of magnetospheric particle distributions via neural networks  |
| Year | 2018 |
| Access Date | 2024, May 08 |
| Secondary Type | PRE LI |
| Number of Files | 1 |
| Size | 2532 KiB |
| 2. Context | |
| Author | 1 Souza, Vitor M. 2 Medeiros, Cláudia 3 Koga, Daiki 4 Alves, Livia Ribeiro 5 Vieira, Luís Eduardo Antunes 6 Dal Lago, Alisson 7 Silva, Ligia Alves da 8 Jauer, Paulo Ricardo 9 Baker, Daniel |
| Resume Identifier | 1 2 3 4 5 6 8JMKD3MGP5W/3C9JGH3 |
| Group | 1 2 COCRC-COCRC-INPE-MCTIC-GOV-BR 3 DIDGE-CGCEA-INPE-MCTIC-GOV-BR 4 DIDGE-CGCEA-INPE-MCTIC-GOV-BR 5 DIDGE-CGCEA-INPE-MCTIC-GOV-BR 6 DIDGE-CGCEA-INPE-MCTIC-GOV-BR 7 DIDGE-CGCEA-INPE-MCTIC-GOV-BR 8 DIDGE-CGCEA-INPE-MCTIC-GOV-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 University of Colorado Boulder |
| Author e-Mail Address | 1 2 claudia.medeiros@inpe.br 3 daiki.koga@inpe.br 4 livia.alves@inpe.br 5 luis.vieira@inpe.br 6 alisson.dallago@inpe.br 7 ligia.silva@inpe.br 8 paulo.jauer@inpe.br |
| Editor | Camporeale, Enrico Johnson, Jay Wing, Simon |
| Book Title | Machine learning techniques for space weather |
| Publisher | Elsevier |
| Pages | 329-353 |
| History (UTC) | 2018-06-18 15:56:31 :: lattes -> administrator :: 2018-06-19 11:34:29 :: administrator -> lattes :: 2018 2018-06-19 12:48:27 :: lattes -> administrator :: 2018 2018-07-04 17:53:26 :: administrator -> simone :: 2018 |
| 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 | Self-organizing map Pitch angle distribution Earth’s magnetosphere |
| Abstract | In this chapter we introduce a special kind of neural network known as a self-organizing map (SOM) and use it to cluster/classify pitch angle-resolved particle flux data obtained by instruments onboard satellites orbiting the Earth. As an example of the technique, we employ electron flux data at both relativistic and subrelativistic energies provided by two instruments onboard one of the twin NASAs Van Allen Probes. For these data sets the SOM can identify the shapes of three well-known types of pitch angle distributions, and from that knowledge one can infer the associated physical mechanisms in the near-Earth space environment, particularly in the Van Allen radiation belts region. The SOM-based methodology can be used with multiplatform spacecraft data, thus enabling a prompt characterization of the physical processes throughout the Earths magnetosphere. The steps required to apply our neural network-based approach to pitch angle-resolved particle flux data from any spacecraft mission are laid out. |
| Area | CEA |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDGE > Classification of magnetospheric... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCRC > Classification of magnetospheric... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| Target File | souza_classification.pdf |
| User Group | lattes self-uploading-INPE-MCTI-GOV-BR |
| Visibility | shown |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Linking | Trabalho não Vinculado à Tese/Dissertação |
| Mirror Repository | urlib.net/www/2011/03.29.20.55 |
| Next Higher Units | 8JMKD3MGPCW/3EU29DP 8JMKD3MGPCW/3F3PAJE |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber city copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition format issn lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarytype translator url volume |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |