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Genetic algorithm to select features for fuzzy ARTMAP classification of evoked EEG

Palaniappan, Ramaswamy, Raveendran, P. (2002) Genetic algorithm to select features for fuzzy ARTMAP classification of evoked EEG. In: Asia-Pacific Conference on Circuits and Systems. 2. pp. 53-56. IEEE ISBN 0-7803-7690-0. (doi:10.1109/APCCAS.2002.1115119) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.1109/APCCAS.2002.1115119

Abstract

Proposes a technique that uses genetic algorithm (GA) to select optimal features for classification applications using fuzzy ARTMAP (FA) neural network (NN). The technique is applied to select features for classification of two groups of subjects: alcoholics and controls, using multi-channel single trial electroencephalogram (EEG) signals evoked during visual response. The results show that the proposed technique is successful in selecting the features that contribute towards classification. This serves to reduce the number of required features while improving the classification performance. The results also indicate that the gamma band spectral power could be used to support evidence on the residual effects of long-term use of alcohol on visual response.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/APCCAS.2002.1115119
Additional information: Unmapped bibliographic data: C7 - 1115119 [EPrints field already has value set] LA - English [Field not mapped to EPrints] J2 - IEEE Aisa Pac. Conf. Circuits Syst. Proc. APCCAS [Field not mapped to EPrints] AD - Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka, 75450, Malaysia [Field not mapped to EPrints] AD - Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - [Field not mapped to EPrints] C3 - IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS [Field not mapped to EPrints]
Uncontrolled keywords: Alcoholism, Convergence, Electroencephalography, Feature extraction, Fuzzy neural networks, Genetic algorithms, Genetic mutations, Information science, Neural networks, Testing, Algorithms, Electroencephalography, Electrophysiology, Feature extraction, Fuzzy inference, Fuzzy logic, Fuzzy neural networks, Genetic algorithms, Information science, Neural networks, Testing, Alcoholism, Classification performance, Convergence, Electroencephalogram signals, Genetic mutations, Neural network (nn), Residual effects, Visual response, Classification (of information)
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 16:49 UTC
Last Modified: 30 May 2019 08:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70765 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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