We consider finite temperature neural networks learned by the Edimburgh’s algorithm in the symmetric version. We prove that domains of attraction of stored patterns are independent from thermal noise.


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    Title :

    Independence from Temperature of Domains of Attraction in Neural Networks


    Contributors:

    Published in:

    Publication date :

    1990-01-01


    Size :

    4 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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