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Voronovskaya type asymptotic expansions for multivariate quasi-interpolation neural network operators

dc.creatorAnastassiou, George
dc.date2014-06-01
dc.identifierhttps://revistas.ufro.cl/ojs/index.php/cubo/article/view/1275
dc.identifier10.4067/S0719-06462014000200002
dc.descriptionHere we study further the multivariate quasi-interpolation of sigmoidal and hyperbolic tangent types neural network operators of one hidden layer. We derive multivariate Voronovskaya type asymptotic expansions for the error of approximation of these operators to the unit operator.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad de La Frontera. Temuco, Chile.en-US
dc.relationhttps://revistas.ufro.cl/ojs/index.php/cubo/article/view/1275/1127
dc.sourceCUBO, A Mathematical Journal; Vol. 16 No. 2 (2014): CUBO, A Mathematical Journal; 33–47en-US
dc.sourceCUBO, A Mathematical Journal; Vol. 16 Núm. 2 (2014): CUBO, A Mathematical Journal; 33–47es-ES
dc.source0719-0646
dc.source0716-7776
dc.subjectMultivariate Neural Network Approximationen-US
dc.subjectmultivariate Voronovskaya type asymptotic expansionen-US
dc.titleVoronovskaya type asymptotic expansions for multivariate quasi-interpolation neural network operatorsen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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