Fine-tuning deep belief networks using cuckoo search

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorMiddlesex University-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorRodrigues, D.-
Autor(es): dc.creatorYang, X. S.-
Autor(es): dc.creatorPapa, J. P. [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:06:22Z-
Data de disponibilização: dc.date.available2022-08-04T22:06:22Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2016-08-11-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/B978-0-12-804536-7.00003-X-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/220834-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/220834-
Descrição: dc.descriptionIn the last few years, metaheuristic-driven optimization has been employed to address deep belief network (DBN) model selection, since it provides simple and elegant solutions in a wide range of applications. In this work, we introduce the well-known cuckoo search to fine-tune DBN parameters and validate its effectiveness by comparing it with harmony search, improved harmony search, and particle swarm optimization. The experimental results have been carried out in two public datasets using DBNs with a different number of layers concerning the task of binary image reconstruction.-
Descrição: dc.descriptionDepartment of Computing Federal University of São Carlos-
Descrição: dc.descriptionSchool of Science and Technology Middlesex University-
Descrição: dc.descriptionDepartment of Computing São Paulo State University-
Descrição: dc.descriptionDepartment of Computing São Paulo State University-
Formato: dc.format47-59-
Idioma: dc.languageen-
Relação: dc.relationBio-Inspired Computation and Applications in Image Processing-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCuckoo search-
Palavras-chave: dc.subjectDeep belief networks-
Palavras-chave: dc.subjectHarmony search-
Palavras-chave: dc.subjectMetaheuristic-
Palavras-chave: dc.subjectModel selection-
Palavras-chave: dc.subjectParticle swarm optimization-
Título: dc.titleFine-tuning deep belief networks using cuckoo search-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.