Radial basis function network using Lambert–Tsallis Wq function

Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/70577

Tipo:	Artigo de Periódico
Título:	Radial basis function network using Lambert–Tsallis Wq function
Autor(es):	Silva, Jorge Lucas Mouta da Mendes, Fernando Vasconcelos Ramos, Rubens Viana
Palavras-chave:	Lambert–Tsallis, Wq, function;Quantum relative disentropy;Radial basis function network
Data do documento:	2019
Instituição/Editor/Publicador:	Physica A: Statistical Mechanics and its Applications
Citação:	RAMOS, R. V.; MENDES, F. V.; SILVA, J. L. M. Radial basis function network using Lambert–Tsallis Wq function. Physica A: Statistical Mechanics and its Applications, [s.l.], v. 534, 2019. DOI: https://doi.org/10.1016/j.physa.2019.122168
Abstract:	The present work brings two applications of the Lambert–Tsallis Wq function in radial basis function networks (RBFN). Initially, an RBFN is used to discriminate between entangled and disentangled bipartite of qubit states. The kernel used is based on the Lambert–Tsallis Wq function for q ∈{1/2, 3/2, 2} and the quantum relative disentropy is used as a distance measure between quantum states. Entangled states with concurrence larger than 0.1 were correctly classified by the proposed RBFN in at least 97% of the cases. Following, a RBFN with the same kernel is used to estimate the probability density function of a set of data sampled according to Normal and Cauchy distributions.
URI:	http://www.repositorio.ufc.br/handle/riufc/70577
ISSN:	0378-4371
Aparece nas coleções:	DETE - Artigos publicados em revista científica

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