Evolutionary fuzzy ARTMAP for autoregressive model order selection and classification of EEG signals

Palaniappan, Ramaswamy and Paramesran, Raveendran and Nishida, Shogo and Saiwaki, Naoki (2000) Evolutionary fuzzy ARTMAP for autoregressive model order selection and classification of EEG signals. In: SMC 2000 IEEE International Conference on Systems, Man & Cybernetics, 8-11 October 2000, Nashville, TN, USA.

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Official URL: https://doi.org/10.1109/ICSMC.2000.886582

Abstract

A new technique of fusing genetic algorithms with Fuzzy ARTMAP is proposed. This method selects the appropriate autoregressive model order for EEG signals and consequently classifies these signals into their respective different mental tasks. The experimental results show that this method outperforms other statistical autoregressive model order selection methods like Akaike Information Criterion, Final Prediction Error and reflection, coefficient.

Item Type: Conference or Workshop Item (Paper)
Funders: UNSPECIFIED
Uncontrolled Keywords: Electroencephalography; Genetic algorithms; Linear equations; Mathematical models; Optimization; Regression analysis; Spectrum analysis
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 20 Oct 2021 07:29
Last Modified: 20 Oct 2021 07:29
URI: http://eprints.um.edu.my/id/eprint/26057

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