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1. Identity statement
Reference TypeBook Section
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4ADMF78
Repositorysid.inpe.br/mtc-m21d/2023/12.20.18.28   (restricted access)
Last Update2023:12.20.18.28.04 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2023/12.20.18.28.04
Metadata Last Update2023:12.27.12.38.10 (UTC) administrator
Secondary KeyINPE--/
DOI10.1007/978-3-031-43544-7_7
ISBN978-3-031-43543-0
978-3-031-43544-7
Citation KeyBiondiNetoSoCaSiChSi:2023:ArNeNe
TitleArtificial neural networks
Year2023
Access Date2024, May 17
Secondary TypePRE LI
Number of Files1
Size402 KiB
2. Context
Author1 Biondi Neto, Luiz
2 Soeiro, Francisco José da Cunha Pires
3 Campos Velho, Haroldo Fraga de
4 Silva, José Demisio Simões da
5 Chalhoub, Ezzat Selim
6 Silva Neto, Antônio José da
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHC3
4 8JMKD3MGP5W/3C9JHH2
5 8JMKD3MGP5W/3C9JH3F
Group1
2
3 COPDT-CGIP-INPE-MCTI-GOV-BR
4
5 COPDT-CGIP-INPE-MCTI-GOV-BR
Affiliation1 Universidade do Estado do Rio de Janeiro (UERJ)
2 Universidade do Estado do Rio de Janeiro (UERJ)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Universidade do Estado do Rio de Janeiro (UERJ)
Author e-Mail Address1
2
3 haroldo.camposvelho@inpe.br
EditorSilva Neto, A. J.
Becceneri, J. C.
Campos Velho, H. F.
Book TitleComputational intelligence applied to inverse problems in radiative transfer
PublisherSpringer
CityCham
Pages51-66
History (UTC)2023-12-20 18:42:12 :: simone -> administrator :: 2023
2023-12-27 12:38:10 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsArtificial Neural Networks (ANNs)
ANN Method Algorithm
Multilayer perceptron
Monte Carlo Method
Training
Supervised learning
Generalization
One-dimensional homogeneous participating medium
Radiative transfer
Levenberg–Marquardt method
AbstractIn this chapter, the description of the method called Artificial Neural Networks (ANNs) is presented, including a brief history, the algorithm, and its application to the inverse radiative transfer problem, for the determination of the optical thickness, single scattering albedo, and diffuse reflectivities in the internal part of the boundary surfaces of one-dimensional homogeneous participating media. The results obtained with the combination of the ANNs with the Levenberg Marquardt deterministic method (LM) are presented. Furthermore, it is also shown how to obtain estimates for the single scattering albedo and optical thickness in one-dimensional homogeneous participating media, employing ANNs trained with patterns generated with a Monte Carlo Method (MC), with different levels of precision.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Artificial neural networks
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target FileChapter7.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Mirror Repositoryurlib.net/www/2021/06.04.03.40.25
Next Higher Units8JMKD3MGPCW/46KUES5
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 3
DisseminationBNDEPOSITOLEGAL
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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