A fuzzy logic system applied in lightning models
Autor(a) principal: | |
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Data de Publicação: | 2001 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-7091-6230-9_88 http://hdl.handle.net/11449/8903 |
Resumo: | This paper describes a novel approach for mapping lightning processes using fuzzy logic. The estimation process is carried out using a fuzzy system based on Sugeno's architecture. Simulation results confirm that proposed approach can be efficiently used in these types of problem. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
A fuzzy logic system applied in lightning modelsThis paper describes a novel approach for mapping lightning processes using fuzzy logic. The estimation process is carried out using a fuzzy system based on Sugeno's architecture. Simulation results confirm that proposed approach can be efficiently used in these types of problem.Univ São Paulo, UNESP, Dept Elect Engn, BR-17033360 Bauru, SP, BrazilUniv São Paulo, UNESP, Dept Elect Engn, BR-17033360 Bauru, SP, BrazilSpringerUniversidade Estadual Paulista (Unesp)de Souza, A. N.da Silva, I. N.Ulson, Jose Alfredo Covolan [UNESP]2014-05-20T13:27:13Z2014-05-20T13:27:13Z2001-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject356-358http://dx.doi.org/10.1007/978-3-7091-6230-9_88Artificial Neural Nets and Genetic Algorithms. Vienna: Springer-verlag Wien, p. 356-358, 2001.http://hdl.handle.net/11449/890310.1007/978-3-7091-6230-9_88WOS:00017013260008882127759604946864517057121462258Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengArtificial Neural Nets and Genetic Algorithmsinfo:eu-repo/semantics/openAccess2024-06-28T13:34:42Zoai:repositorio.unesp.br:11449/8903Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:04:22.606468Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A fuzzy logic system applied in lightning models |
title |
A fuzzy logic system applied in lightning models |
spellingShingle |
A fuzzy logic system applied in lightning models de Souza, A. N. |
title_short |
A fuzzy logic system applied in lightning models |
title_full |
A fuzzy logic system applied in lightning models |
title_fullStr |
A fuzzy logic system applied in lightning models |
title_full_unstemmed |
A fuzzy logic system applied in lightning models |
title_sort |
A fuzzy logic system applied in lightning models |
author |
de Souza, A. N. |
author_facet |
de Souza, A. N. da Silva, I. N. Ulson, Jose Alfredo Covolan [UNESP] |
author_role |
author |
author2 |
da Silva, I. N. Ulson, Jose Alfredo Covolan [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
de Souza, A. N. da Silva, I. N. Ulson, Jose Alfredo Covolan [UNESP] |
description |
This paper describes a novel approach for mapping lightning processes using fuzzy logic. The estimation process is carried out using a fuzzy system based on Sugeno's architecture. Simulation results confirm that proposed approach can be efficiently used in these types of problem. |
publishDate |
2001 |
dc.date.none.fl_str_mv |
2001-01-01 2014-05-20T13:27:13Z 2014-05-20T13:27:13Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-7091-6230-9_88 Artificial Neural Nets and Genetic Algorithms. Vienna: Springer-verlag Wien, p. 356-358, 2001. http://hdl.handle.net/11449/8903 10.1007/978-3-7091-6230-9_88 WOS:000170132600088 8212775960494686 4517057121462258 |
url |
http://dx.doi.org/10.1007/978-3-7091-6230-9_88 http://hdl.handle.net/11449/8903 |
identifier_str_mv |
Artificial Neural Nets and Genetic Algorithms. Vienna: Springer-verlag Wien, p. 356-358, 2001. 10.1007/978-3-7091-6230-9_88 WOS:000170132600088 8212775960494686 4517057121462258 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Artificial Neural Nets and Genetic Algorithms |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
356-358 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129280968753152 |