Suchergebnisse - "Learning vector quantization neural network"

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  1. 1

    Detection of Carotid Artery Disease by Using Learning Vector Quantization Neural Network von Uuz, Harun

    ISSN: 0148-5598, 1573-689X
    Veröffentlicht: Boston Springer US 01.04.2012
    Veröffentlicht in Journal of medical systems (01.04.2012)
    “… In this study, a biomedical system based on Learning Vector Quantization Neural Network (LVQ NN) has been developed in order to classify the internal carotid artery Doppler …”
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  2. 2

    Human Posture Recognition Based on Images Captured by the Kinect Sensor von Wang, Wen-June, Chang, Jun-Wei, Haung, Shih-Fu, Wang, Rong-Jyue

    ISSN: 1729-8806, 1729-8814
    Veröffentlicht: London, England SAGE Publications 15.03.2016
    Veröffentlicht in International journal of advanced robotic systems (15.03.2016)
    “… In this paper we combine several image processing techniques with the depth images captured by a Kinect sensor to successfully recognize the five distinct …”
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  3. 3

    Evolving neuro-fuzzy network for real-time high impedance fault detection and classification von Silva, Sergio, Costa, Pyramo, Santana, Marcio, Leite, Daniel

    ISSN: 0941-0643, 1433-3058
    Veröffentlicht: London Springer London 01.06.2020
    Veröffentlicht in Neural computing & applications (01.06.2020)
    “… The proposed evolving neuro-fuzzy classification model has shown to be particularly suitable for the problem because the HIF environment is subject to concept changes …”
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  4. 4

    Information-Theoretic Measures on Intrinsic Mode Function for the Individual Identification Using EEG Sensors von Kumari, Pinki, Vaish, Abhishek

    ISSN: 1530-437X, 1558-1748
    Veröffentlicht: New York IEEE 01.09.2015
    Veröffentlicht in IEEE sensors journal (01.09.2015)
    “… In spite of recent advances, the interest in extracting knowledge hidden in the electroencephalogram (EEG) signals is rapidly growing, as well as their …”
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  5. 5

    An approach based on probabilistic neural network for diagnosis of Mesothelioma’s disease von Er, Orhan, Tanrikulu, Abdullah Cetin, Abakay, Abdurrahman, Temurtas, Feyzullah

    ISSN: 0045-7906, 1879-0755
    Veröffentlicht: Elsevier Ltd 01.01.2012
    Veröffentlicht in Computers & electrical engineering (01.01.2012)
    “… ► This system is useful to help the expert while deciding the healthy and patient subjects. Malignant mesothelioma (MM …”
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