Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks.

Boaretto, B R R; Budzinski, R C; Rossi, K L; Prado, T L; Lopes, S R; Masoller, C

Boaretto, B R R; Budzinski, R C; Rossi, K L; Prado, T L; Lopes, S R; Masoller, C.

Afiliación

Boaretto BRR; Department of Physics, Universidade Federal do Paraná, Curitiba, 81531-980, Brazil.
Budzinski RC; Department of Physics, Universidade Federal do Paraná, Curitiba, 81531-980, Brazil.
Rossi KL; Department of Physics, Universidade Federal do Paraná, Curitiba, 81531-980, Brazil.
Prado TL; Department of Physics, Universidade Federal do Paraná, Curitiba, 81531-980, Brazil.
Lopes SR; Department of Physics, Universidade Federal do Paraná, Curitiba, 81531-980, Brazil.
Masoller C; Department of Physics, Universitat Politecnica de Catalunya, 08222, Barcelona, Spain. cristina.masoller@upc.edu.

Sci Rep ; 11(1): 15789, 2021 08 04.

Article en En | MEDLINE | ID: mdl-34349134

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido

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