In this article proposed to use a modified neural network Fuzzy-ART for classification of thetechnical condition of composite materials. This neural network is used as a part of nondestructivetesting system to perform diagnosis of composite materials and provides cluster analysis andclassification of units under test. The advantage of the described neural network and the system ingeneral is its flexible architecture, high performance and high reliability of data processing


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    Title :

    COMPOSITE MATERIALS' CONDITION CLASSIFIER BASED ON NEURAL NETWORK OF ADAPTIVE RESONANCE THEORY




    Publication date :

    2012




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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