EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS

DOI10.1016/J.ENDM.2017.03.011zbMath1397.92387OpenAlexW2606552610MaRDI QIDQ1687650

A. de P. Figueiredo, G. G. Netto, D. C. O. G. Filho, Igor M. Coelho, E. J. da S. Luz, A. C. Barbosa, Bruno N. Coelho, Vitor N. Coelho, Thays A. Oliveira, M. E. V. Elias, Alberto A. Pinto, Roberto Costa, Frederico Gadelha Guimarães, Marcone Jamilson Freitas Souza, Mateus N. Coelho

Publication date: 4 January 2018

Full work available at URL: https://doi.org/10.1016/j.endm.2017.03.011

zbMATH Keywords

variable neighborhood searchbiometricselectroencephalogrambrain fingerprintingforecasting and time series

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Biomedical imaging and signal processing (92C55) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Prediction theory (aspects of stochastic processes) (60G25)

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Uses Software

• PhysioToolkit

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