A new architecture is suggested for a numerical estimator using Artificial Neural Network (ANN) technology. The method is based on proven technology already implemented in hardware, and is extended for improved numerical accuracy combined with reduced resource usage. The architecture is suitable for embedded hardware solutions.


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    Title :

    Improvements to Function Approximation Using a Hardware-Accelerated Artificial Neural Network


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2006 World Congress & Exhibition ; 2006



    Publication date :

    2006-04-03




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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