Genetic algorithm to select features for fuzzy ARTMAP classification of evoked EEG
作者： R. Palaniappan , P. Raveendran
DOI: 10.1109/APCCAS.2002.1115119
关键词:
摘要: Proposes a technique that uses genetic algorithm (GA) to select optimal features for classification applications using fuzzy ARTMAP (FA) neural network (NN). The is applied of two groups subjects: alcoholics and controls, multi-channel single trial electroencephalogram (EEG) signals evoked during visual response. results show the proposed successful in selecting contribute towards classification. This serves reduce number required while improving performance. also indicate gamma band spectral power could be used support evidence on residual effects long-term use alcohol
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