Activation function study for wavelet network

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dc.contributor.authorMarar, João Fernando [UNESP]
dc.contributor.authorCarvalho Filho, Edson C. B. [UNESP]
dc.contributor.authorLi, Weigang
dc.contributor.authorSá, Leonardo D.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Pernambuco (UFPE)
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)
dc.date.accessioned2014-05-27T11:18:18Z
dc.date.available2014-05-27T11:18:18Z
dc.date.issued1997-12-01
dc.description.abstractThe main purpose of this paper is to investigate theoretically and experimentally the use of family of Polynomial Powers of the Sigmoid (PPS) Function Networks applied in speech signal representation and function approximation. This paper carries out practical investigations in terms of approximation fitness (LSE), time consuming (CPU Time), computational complexity (FLOP) and representation power (Number of Activation Function) for different PPS activation functions. We expected that different activation functions can provide performance variations and further investigations will guide us towards a class of mappings associating the best activation function to solve a class of problems under certain criteria.en
dc.description.affiliationUniv Estadual Paulista and Univ. Federal de Pernambuco, Recife-PE, Braz
dc.description.affiliationUnespDepartment of Computer Science, Universidade Estadual Paulista - Unesp, Bauru
dc.format.extent690-697
dc.identifierhttp://dx.doi.org/10.1117/12.271531
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering, v. 3077, p. 690-697.
dc.identifier.doi10.1117/12.271531
dc.identifier.issn0277-786X
dc.identifier.lattes1233049484488761
dc.identifier.scopus2-s2.0-0031382977
dc.identifier.urihttp://hdl.handle.net/11449/65283
dc.identifier.wosWOS:A1997BH60Z00072
dc.language.isoeng
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectComputational complexity
dc.subjectFunction evaluation
dc.subjectLeast squares approximations
dc.subjectMapping
dc.subjectPerformance
dc.subjectPolynomials
dc.subjectSignal processing
dc.subjectSpeech
dc.subjectWavelet transforms
dc.subjectActivation function
dc.subjectPolynomial Powers of Sigmoid
dc.subjectNeural networks
dc.titleActivation function study for wavelet networken
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://proceedings.spiedigitallibrary.org/ss/TermsOfUse.aspx
unesp.author.lattes1233049484488761
unesp.author.orcid0000-0003-1826-1850[3]
unesp.author.orcid0000-0002-0402-323X[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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Bauru - FC - Faculdade de Ciências