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Study of Feature Classification Methods in BCI Based on Neural Networks.

Study of Feature Classification Methods in BCI Based on Neural Networks. Research Abstract Details 

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  • Study of Feature Classification Methods in BCI Based on Neural Networks. Abstract Text:

    boqiang liuBoqiang Liu,mingshi wangMingshi Wang,hongqiang yuHongqiang Yu,lanlan yuLanlan Yu,zhongguo liuZhongguo Liu,

    Feature classification is one of the important aspects in Brain-computer interfaces (BCI) system. It has been known that a higher precision can be achieved if use neutral networks in a proper way for feature classification. In this paper, three feature identification ways were introduced and discussed. In the experiment of left-right hand classification, the arithmetic of the small mean square difference is proposed and studied, so as to get a good converging in the task classification. The design method of input and output layer for the BP neural network was discussed. Experiment results show that it is a feasible processing algorithm to classify the different events.

    Study of Feature Classification Methods in BCI Based on Neural Networks. Publishing Authors By Initials

    b liuB Liu,m wangM Wang,h yuH Yu,l yuL Yu,z liuZ Liu,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Study of Feature Classification Methods in BCI Based on Neural Networks. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Conference proceedings : ... Annual International

    VOLUME: 3

    Page Numbers: 2932-5

    Journal Abbreviation:

    ISSN: 1557-170X

    DAY: 6

    MONTH: 02

    YEAR: 2005

    Study of Feature Classification Methods in BCI Based on Neural Networks. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101243413

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    Grant and Affiliation Information for Study of Feature Classification Methods in BCI Based on Neural Networks.

    AFFILIATION: College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China; School of Control Science and Engineering, Shandong University, Jinan, 250061, China.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Conf Proc IEEE Eng Med Biol So

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