dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorde Souza, A. N.
dc.creatorda Silva, I. N.
dc.creatorUlson, Jose Alfredo Covolan
dc.date2014-05-20T13:27:13Z
dc.date2014-05-20T13:27:13Z
dc.date2001-01-01
dc.date.accessioned2017-04-05T20:07:49Z
dc.date.available2017-04-05T20:07:49Z
dc.identifierArtificial Neural Nets and Genetic Algorithms. Vienna: Springer-verlag Wien, p. 356-358, 2001.
dc.identifierhttp://hdl.handle.net/11449/8903
dc.identifier10.1007/978-3-7091-6230-9_88
dc.identifierWOS:000170132600088
dc.identifierhttp://dx.doi.org/10.1007/978-3-7091-6230-9_88
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/857162
dc.descriptionThis 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.
dc.languageeng
dc.publisherSpringer
dc.relationArtificial Neural Nets and Genetic Algorithms
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleA fuzzy logic system applied in lightning models
dc.typeOtro


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