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    » On the use of spiking neural network for EEG classification
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    IJON
    2006
    112views more  IJON 2006»
    Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network
    13 years 8 months ago
    Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network
    Download  www.intelengine.cn
    This paper proposes a novel and successful method for recognizing palmprint based on radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by the ...
    Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Z...
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    ASC
    2007
    153views Artificial Intelligence» more  ASC 2007»
    Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
    13 years 8 months ago
    Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
    Download  icsl.gatech.edu
    We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
    Abhinav Saxena, Ashraf Saad
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    NN
    2000
    Springer
    159views Neural Networks» more  NN 2000»
    Independent component analysis for noisy data -- MEG data analysis
    13 years 8 months ago
    Independent component analysis for noisy data -- MEG data analysis
    Download  www.ism.ac.jp
    ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
    Shiro Ikeda, Keisuke Toyama
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    NN
    2006
    Springer
    153views Neural Networks» more  NN 2006»
    An incremental network for on-line unsupervised classification and topology learning
    13 years 8 months ago
    An incremental network for on-line unsupervised classification and topology learning
    Download  haselab.info
    This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
    Shen Furao, Osamu Hasegawa
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    IEAAIE
    2010
    Springer
    197views Artificial Intelligence» more  IEAAIE 2010»
    Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles
    13 years 6 months ago
    Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles
    Download  www.lcc.uma.es
    Abstract. Gene expression profiling strategies have attracted considerable interest from biologist due to the potential for high throughput analysis of hundreds of thousands of gen...
    Daniel Urda, José Luis Subirats, Leonardo F...
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