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Volumn 4247 LNCS, Issue , 2006, Pages 575-582

Automated feature selection based on an adaptive genetic algorithm for brain-computer interfaces

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; BRAIN; CLASSIFICATION (OF INFORMATION); GENETIC ALGORITHMS; INTERFACES (COMPUTER); PROBABILITY DISTRIBUTIONS;

EID: 33751383421     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11903697_73     Document Type: Conference Paper
Times cited : (4)

References (11)
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    • Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters
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    • (1998) IEEE Trans. Rehab. Eng. , vol.6 , Issue.3 , pp. 316-325
    • Pfurtscheller, G.1    Neuper, C.2    Schlogl, A.3    Lugger, K.4
  • 4
    • 0041739273 scopus 로고    scopus 로고
    • Adaptive brain interfaces
    • Millán, J.: Adaptive brain interfaces. Commun. ACM., vol. 46 (2003) 74-80
    • (2003) Commun. ACM. , vol.46 , pp. 74-80
    • Millán, J.1
  • 5
    • 0043171108 scopus 로고    scopus 로고
    • Asynchronous BCI and local neural classifiers: An overview of the adaptive brain interface project
    • Millán, J., and Mouriño, J.: Asynchronous BCI and local neural classifiers: An overview of the adaptive brain interface project. IEEE Trans. Neural Syst. Rehab. Eng., vol. 11 (2003) 159-161
    • (2003) IEEE Trans. Neural Syst. Rehab. Eng. , vol.11 , pp. 159-161
    • Millán, J.1    Mouriño, J.2
  • 7
    • 0042354786 scopus 로고    scopus 로고
    • Comparison of linear, nonlinear, and feature election methods for EEG signal classification
    • Garrett, D., Peterson, D.A., Anderson, C.W., and Thaut, M.H.: Comparison of linear, nonlinear, and feature election methods for EEG signal classification. IEEE Trans. Neural Syst. Rehab. Eng., vol. 11, no. 2 (2003) 141-144
    • (2003) IEEE Trans. Neural Syst. Rehab. Eng. , vol.11 , Issue.2 , pp. 141-144
    • Garrett, D.1    Peterson, D.A.2    Anderson, C.W.3    Thaut, M.H.4
  • 8
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    • Adaptive probabilities of crossover and mutation in genetic algorithms
    • Srinivas, M., Patnaik, L. M.: Adaptive Probabilities of Crossover and Mutation in Genetic Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, vol. 24, no.4 (1994) 656-667
    • (1994) IEEE Transactions on Systems, Man, and Cybernetics , vol.24 , Issue.4 , pp. 656-667
    • Srinivas, M.1    Patnaik, L.M.2
  • 10
    • 0034227864 scopus 로고    scopus 로고
    • Probabilistic neural-network structure determination for pattern classification
    • Mao, K.Z., Tan, K.C., and Ser, W.: Probabilistic neural-network structure determination for pattern classification. IEEE Tran. Neural Networks, vol. 11, no. 4 (2000) 1010-1017
    • (2000) IEEE Tran. Neural Networks , vol.11 , Issue.4 , pp. 1010-1017
    • Mao, K.Z.1    Tan, K.C.2    Ser, W.3
  • 11
    • 2342444963 scopus 로고    scopus 로고
    • A real-coded adaptive genetic algorithm and its application research in thermal process identification
    • no.1.2
    • Zhang, S.H., and Ju, G.: A real-coded adaptive genetic algorithm and its application research in thermal process identification. Proceedings of CSEE. China, vol. 24, no.1.2 (2004) 210-214
    • (2004) Proceedings of CSEE. China , vol.24 , pp. 210-214
    • Zhang, S.H.1    Ju, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.