Recurrence microstates for machine learning classification.

Autor: Spezzatto GS; Department of Physics, Federal University of Paraná, 81531-980 Curitiba, Brazil., Flauzino JVV; Department of Physics, Federal University of Paraná, 81531-980 Curitiba, Brazil., Corso G; Biophysics and Pharmacology Department, Federal University of Rio Grande do Norte, 59078-900 Natal, Rio Grande do Norte, Brazil., Boaretto BRR; Institute of Science and Technology, Federal University of São Paulo, 12231-280 São José dos Campos, São Paulo, Brazil., Macau EEN; Institute of Science and Technology, Federal University of São Paulo, 12231-280 São José dos Campos, São Paulo, Brazil., Prado TL; Department of Physics, Federal University of Paraná, 81531-980 Curitiba, Brazil.; Department of Physics, University Rey Juan Carlos, Móstoles, 28933 Madrid, Spain.; Interdisciplinary Center for Science, Technology and Innovation CICTI, Federal University of Paraná, 81531-980 Curitiba, Brazil., Lopes SR; Department of Physics, Federal University of Paraná, 81531-980 Curitiba, Brazil.; Interdisciplinary Center for Science, Technology and Innovation CICTI, Federal University of Paraná, 81531-980 Curitiba, Brazil.; Potsdam Institute for Climate Impact Research-Telegraphenberg, 14473 Potsdam, Germany.

Publikováno v: Chaos (Woodbury, N.Y.) [Chaos] 2024 Jul 01; Vol. 34 (7).