In this study, we apply a recent Hybrid Focasting Model, which calibrates its if-then fuzzy rules with a hybrid GVNS metaheuristic algorithm, in order to learn ...
Nov 21, 2024 · In this study, we apply a recent Hybrid Focasting Model, which calibrates its if-then fuzzy rules with a hybrid GVNS metaheuristic algorithm, in ...
A hybrid metaheuristic calibration al- gorithm generates model's if-then fuzzy rules and weights, using the General. Variable Neighborhood Search (GVNS) ...
A hybrid system developed by artificial intelligence techniques to deal with electroencephalogram time series can successfully predict the future states of ...
In this paper, we analyse time series modelling using autoregressive techniques for extracting features to represent electroencephalogram (EEG) signals. We ...
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Interactions plots and model classification accuracy · EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS.
Apr 25, 2024 · EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS. Electron. Notes Discret. Math. 58: 79-86 ...
EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS. VN Coelho, IM Coelho, BN Coelho, MJF Souza, FG Guimarães ...
EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS · V. N. CoelhoI. M. Coelho +12 authors T. A. Oliveira.
In this paper, a Hybrid Forecasting Model, calibrated with the Reduced Variable Neighborhood Search, with parallel processing using Graphical Processing Units, ...