Title | ||
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Evolutionary fuzzy ARTMAP for autoregressive model order selection and classification of EEG signals |
Abstract | ||
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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 |
Year | DOI | Venue |
---|---|---|
2000 | 10.1109/ICSMC.2000.886582 | SMC |
Keywords | Field | DocType |
art neural nets,electroencephalography,evolutionary computation,fuzzy neural nets,genetic algorithms,medical signal processing,signal classification,eeg signals,autoregressive model,fuzzy artmap,order selection,error correction,genetic engineering,akaike information criterion,genetic algorithm,reflection,reflection coefficient,predictive models,regression analysis,parameter estimation | Autoregressive model,Mean squared prediction error,Akaike information criterion,Pattern recognition,Computer science,Fuzzy logic,Evolutionary computation,Signal classification,Artificial intelligence,Electroencephalography,Machine learning,Genetic algorithm | Conference |
Volume | ISSN | ISBN |
5 | 1062-922X | 0-7803-6583-6 |
Citations | PageRank | References |
6 | 1.28 | 2 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Palaniappan, R. | 1 | 31 | 6.13 |
Paramesran Raveendran | 2 | 183 | 20.02 |
Shogo Nishida | 3 | 227 | 52.41 |
Saiwaki, N. | 4 | 8 | 1.94 |