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

Document Type

Conference Item

Publication Date

1-1-2000

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.

Keywords

Electroencephalography, Genetic algorithms, Linear equations, Mathematical models, Optimization, Regression analysis, Spectrum analysis

Divisions

fac_eng

Volume

5

Event Title

SMC 2000 IEEE International Conference on Systems, Man & Cybernetics

Event Location

Nashville, TN, USA

Event Dates

8-11 October 2000

Event Type

conference

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