Changes in synapse weights due to circuit drifts suppressed. Proposed fully parallel analog version of electronic neural-network processor based on delta-back-propagation algorithm. Processor able to "learn" when provided with suitable combinations of inputs and enforced outputs. Includes programmable resistive memory elements (corresponding to synapses), conductances (synapse weights) adjusted during learning. Buffer amplifiers, summing circuits, and sample-and-hold circuits arranged in layers of electronic neurons in accordance with delta-back-propagation algorithm.


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    Title :

    Analog Delta-Back-Propagation Neural-Network Circuitry


    Contributors:

    Published in:

    Publication date :

    1990-06-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English