Paraconsistent artificial neural networks: An introduction

Detalhes bibliográficos
Autor(a) principal: Abe, J. M.
Data de Publicação: 2004
Outros Autores: Negoita, M. G., Howlett, R. J., Jain, L. C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/194634
Resumo: In this work we sketch a new theory of artificial neural network, based on a paraconsistent annotated logic Etau. Such theory, called Paraconsistent Artificial Neural Network - PANN - is built from the algorithm Para-analyzer and has as characteristics the capability of mainly manipulating uncertainty, inconsistent and paracomplete concepts. Some aspects such as capability of adaptation, velocity processing, and other useful characteristics make the PANN a promising theory.
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spelling Paraconsistent artificial neural networks: An introductionneural networkparaconsistent logicsannotated logicslogical analyzerpattern recognitionIn this work we sketch a new theory of artificial neural network, based on a paraconsistent annotated logic Etau. Such theory, called Paraconsistent Artificial Neural Network - PANN - is built from the algorithm Para-analyzer and has as characteristics the capability of mainly manipulating uncertainty, inconsistent and paracomplete concepts. Some aspects such as capability of adaptation, velocity processing, and other useful characteristics make the PANN a promising theory.Univ Sao Paulo, Inst Adv Studies, BR-05508900 Sao Paulo, BrazilUniv Estadual Paulista, Dept Informat Technol, ICET, UNIP, BR-04026002 Sao Paulo, SP, BrazilUniv Estadual Paulista, Dept Informat Technol, ICET, UNIP, BR-04026002 Sao Paulo, SP, BrazilSpringerUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Abe, J. M.Negoita, M. G.Howlett, R. J.Jain, L. C.2020-12-10T16:32:34Z2020-12-10T16:32:34Z2004-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article942-948Knowledge-based Intelligent Information And Engineering Systems, Pt 2, Proceedings. Berlin: Springer-verlag Berlin, v. 3214, p. 942-948, 2004.0302-9743http://hdl.handle.net/11449/194634WOS:000224585400124Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengKnowledge-based Intelligent Information And Engineering Systems, Pt 2, Proceedingsinfo:eu-repo/semantics/openAccess2021-10-22T19:10:46Zoai:repositorio.unesp.br:11449/194634Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:19:49.814791Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Paraconsistent artificial neural networks: An introduction
title Paraconsistent artificial neural networks: An introduction
spellingShingle Paraconsistent artificial neural networks: An introduction
Abe, J. M.
neural network
paraconsistent logics
annotated logics
logical analyzer
pattern recognition
title_short Paraconsistent artificial neural networks: An introduction
title_full Paraconsistent artificial neural networks: An introduction
title_fullStr Paraconsistent artificial neural networks: An introduction
title_full_unstemmed Paraconsistent artificial neural networks: An introduction
title_sort Paraconsistent artificial neural networks: An introduction
author Abe, J. M.
author_facet Abe, J. M.
Negoita, M. G.
Howlett, R. J.
Jain, L. C.
author_role author
author2 Negoita, M. G.
Howlett, R. J.
Jain, L. C.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Abe, J. M.
Negoita, M. G.
Howlett, R. J.
Jain, L. C.
dc.subject.por.fl_str_mv neural network
paraconsistent logics
annotated logics
logical analyzer
pattern recognition
topic neural network
paraconsistent logics
annotated logics
logical analyzer
pattern recognition
description In this work we sketch a new theory of artificial neural network, based on a paraconsistent annotated logic Etau. Such theory, called Paraconsistent Artificial Neural Network - PANN - is built from the algorithm Para-analyzer and has as characteristics the capability of mainly manipulating uncertainty, inconsistent and paracomplete concepts. Some aspects such as capability of adaptation, velocity processing, and other useful characteristics make the PANN a promising theory.
publishDate 2004
dc.date.none.fl_str_mv 2004-01-01
2020-12-10T16:32:34Z
2020-12-10T16:32:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Knowledge-based Intelligent Information And Engineering Systems, Pt 2, Proceedings. Berlin: Springer-verlag Berlin, v. 3214, p. 942-948, 2004.
0302-9743
http://hdl.handle.net/11449/194634
WOS:000224585400124
identifier_str_mv Knowledge-based Intelligent Information And Engineering Systems, Pt 2, Proceedings. Berlin: Springer-verlag Berlin, v. 3214, p. 942-948, 2004.
0302-9743
WOS:000224585400124
url http://hdl.handle.net/11449/194634
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Knowledge-based Intelligent Information And Engineering Systems, Pt 2, Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 942-948
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_ 1808129416228765696

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