1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m16d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP7W/3B58LEP |
Repository | sid.inpe.br/mtc-m19/2012/01.02.16.29 (restricted access) |
Last Update | 2012:01.31.13.19.40 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m19/2012/01.02.16.29.24 |
Metadata Last Update | 2018:06.05.04.25.13 (UTC) administrator |
Secondary Key | INPE--PRE/ |
ISSN | 1983-8409 2177-8833 |
Citation Key | MenesesShigMuraClem:2011:ReAiVo |
Title | A representative airglow volume emisson profile from rocket-borne photometer data by an artificial neural network technique |
Year | 2011 |
Access Date | 2024, May 04 |
Secondary Type | PRE PN |
Number of Files | 1 |
Size | 756 KiB |
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2. Context | |
Author | 1 Meneses, Francisco Carlos de 2 Shiguemori, Elcio Hideiti 3 Muralikrishnaa, P. 4 Clemesha, Barclay Robert |
Resume Identifier | 1 2 3 4 8JMKD3MGP5W/3C9JGKH |
Group | 1 DAE-CEA-INPE-MCT-BR 2 3 4 DAE-CEA-INPE-MCT-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto de Estudos Avançados, Instituto de Estudos Avançados do DCTA 3 4 Instituto Nacional de Pesquisas Espaciais (INPE) |
e-Mail Address | secretaria.cpa@dir.inpe.br |
Journal | Journal of Computational Interdisciplinary Sciences |
Volume | 2 |
Number | 2 |
Pages | 1-11 |
History (UTC) | 2012-01-31 13:19:40 :: secretaria.cpa@dir.inpe.br -> administrator :: 2011 2018-06-05 04:25:13 :: administrator -> marciana :: 2011 |
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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 |
Keywords | applied computing in space and environmental sciences neural networks inverse problem airglow rocket |
Abstract | The inverse problem to retrieve useful airglow volume emission rate profiles from rocket-borne photometer measurements has been solved by adopting the well-characterized spectral photometric methods. An alternative recovery method based on artificial neural network (ANN) is presented. A multilayer perceptron neural network was trained with available experimental and synthetic data. Integrated emissions profiles measured by a rocket experiment were taken as the input data. From the results obtained in this work, it may be concluded that the ANN technique is a convenient tool to recover volume emission rate profiles. |
Area | CEA |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDAE > A representative airglow... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
User Group | administrator secretaria.cpa@dir.inpe.br |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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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/3ETL868 |
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 dissemination doi electronicmailaddress format isbn label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url versiontype |
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7. Description control | |
e-Mail (login) | marciana |
update | |
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