Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization

Página do item simplificado
dc.contributor.authorFernandes, S. E.N.
dc.contributor.authorSetoue, K. K.F. [UNESP]
dc.contributor.authorAdeli, H.
dc.contributor.authorPapa, J. P. [UNESP]
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionOhio State University
dc.date.accessioned2022-04-28T19:06:03Z
dc.date.available2022-04-28T19:06:03Z
dc.date.issued2016-08-11
dc.description.abstractMany approaches using neural networks have been studied in the past years. A number of architectures for different objectives are presented in the literature, including probabilistic neural networks (PNNs), which have shown good results in several applications. A simple and elegant solution related to PNNs is the enhanced probabilistic neural networks (EPNNs), whose idea is to consider only the samples that fall in a neighborhood of given a training sample to estimate its probability density function. In this work, we propose to fine-tune EPNN parameters by means of metaheuristic-driven optimization techniques, from the results evaluated in a number of public datasets.en
dc.description.affiliationDepartment of Computing Federal University of São Carlos
dc.description.affiliationDepartment of Computing São Paulo State University
dc.description.affiliationDepartment of Civil Environmental and Geodetic Engineering Ohio State University
dc.description.affiliationUnespDepartment of Computing São Paulo State University
dc.format.extent25-45
dc.identifierhttp://dx.doi.org/10.1016/B978-0-12-804536-7.00002-8
dc.identifier.citationBio-Inspired Computation and Applications in Image Processing, p. 25-45.
dc.identifier.doi10.1016/B978-0-12-804536-7.00002-8
dc.identifier.scopus2-s2.0-85017446492
dc.identifier.urihttp://hdl.handle.net/11449/220833
dc.language.isoeng
dc.relation.ispartofBio-Inspired Computation and Applications in Image Processing
dc.sourceScopus
dc.subjectEnhanced probabilistic neural networks
dc.subjectMetaheuristic
dc.subjectNeural networks
dc.subjectOptimization
dc.subjectPattern recognition
dc.titleFine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimizationen
dc.typeCapítulo de livro

Arquivos

Coleções

Artigos