Networks of higher order have enhanced capabilities to distinguish between different two-dimensional patterns and to recognize those patterns. Also enhanced capabilities to "learn" patterns to be recognized: "trained" with far fewer examples and, therefore, in less time than necessary to train comparable first-order neural networks.


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    Title :

    Higher-Order Neural Networks Recognize Patterns


    Contributors:

    Published in:

    Publication date :

    1996-02-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English





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