• DocumentCode
    2668660
  • Title

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

  • Author

    Palaniappan, R. ; Raveendran, P. ; Nishida, Shogo ; Saiwaki, Naoki

  • Author_Institution
    Fac. of Eng., Malaya Univ., Kuala Lumpur, Malaysia
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3682
  • 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
    ART neural nets; electroencephalography; evolutionary computation; fuzzy neural nets; genetic algorithms; medical signal processing; signal classification; EEG signals; autoregressive model; fuzzy ARTMAP; genetic algorithms; order selection; Brain modeling; Control system synthesis; Electroencephalography; Error correction; Genetic algorithms; Genetic engineering; Parameter estimation; Predictive models; Reflection; Regression analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • Conference_Location
    Nashville, TN
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.886582
  • Filename
    886582
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2668660