1. Identity statement | |
Reference Type | Book Section |
Site | marte3.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZ3r59YCT/H3J9q |
Repository | sid.inpe.br/iris@1905/2005/08.04.01.28 (restricted access) |
Last Update | 2018:01.10.16.31.52 (UTC) marciana |
Metadata Repository | sid.inpe.br/iris@1905/2005/08.04.01.28.41 |
Metadata Last Update | 2021:02.11.18.09.55 (UTC) administrator |
Secondary Key | INPE-9494-PRE/5147 |
Label | 10425 |
Citation Key | NowosadRiosCamp:2002:DaAsCh |
Title | Data assimilation in chaotic dynamics using neural networks |
Format | ISBN:85-900351-6-6 |
Year | 2002 |
Secondary Date | 20021011 |
Access Date | 2024, May 08 |
Secondary Type | PRE LN |
Number of Files | 1 |
Size | 198 KiB |
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2. Context | |
Author | 1 Nowosad, Alexandre Guirland 2 Rios Neto, Atais 3 Campos Velho, Haroldo Fraga de |
Group | 1 DMC-INPE-MCT-BR 2 LAC-INPE-MCT-BR |
Editor | Balthazar, José Manoel Gonçalves, Paulo Batista Brasil, Reyolando M. F. L. R. F Caldas, Iberê L Rizatto, Felipe B. . |
Book Title | Nonlinear dynamics, chaos, control and their applications to engineering sciences |
Publisher | ABCM/ABCM |
Pages | cap. 1, 17-20 |
Series Title | Nonlinear dynamics, chaos, control and their applications to engineering sciences |
History (UTC) | 2006-11-16 00:42:35 :: administrator -> jefferson :: 2007-08-14 19:04:11 :: jefferson -> administrator :: 2014-09-29 15:09:03 :: administrator -> marciana :: 2002 2018-01-10 16:31:52 :: marciana -> administrator :: 2002 2021-02-11 18:09:55 :: administrator -> jefferson :: 2002 |
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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 | ENGENHARIA E TECNOLOGIA ESPACIAL data assimilation neural networks chaotics dynamics |
Abstract | Multilayer Perceptron Neural Networks are used for data assimilation in two nonlinear dynamic systems: the Hénon and Lorenz systems in chaotic state. The approach "emulates" the Kalman Filter data assimilation method avoiding recalculation of the gain matrix at each instant of assimilation. In the case of Hénon system an Adaptive Extended Kalman Filter was used to provide examples for network training. In the case of Lorenz System the Extended Kalman Filter was used for network training. Preliminary test results obtained are shown. |
Area | ETES |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Data assimilation in... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Data assimilation in... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Target File | 9494.pdf |
User Group | administrator jefferson |
Visibility | shown |
Copy Holder | SID/SCD |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/446AF4B |
Dissemination | NTRSNASA; BNDEPOSITOLEGAL. |
Host Collection | sid.inpe.br/banon/2001/04.03.15.36 |
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6. Notes | |
Empty Fields | affiliation archivingpolicy archivist callnumber city copyright creatorhistory descriptionlevel doi e-mailaddress edition electronicmailaddress isbn issn language lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype translator url versiontype volume |
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7. Description control | |
e-Mail (login) | jefferson |
update | |
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