Artificial Neural Networks (ANNs) have gained recognition as a valuable tool to aid in the solution of difficult computing problems. Despite an abundance of work in the application and mathematical foundations of ANNs there currently exists no consensus on how to implement ANNs in hardware. The goal of this paper is to motivate the use of optical computing technologies to meet the huge computational burden presented by ANNs and to provide an analytical perspective on ANN implementation by addressing issues and design tradeoffs.<>


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    Titel :

    Optical computing for artificial neural network implementations


    Beteiligte:
    Malhotra, R. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    729670 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Optical Computing for Artificial Neural Network Implementations

    Malhotra, R. / IEEE; Dayton Section / IEEE; Aerospace and Electronics Systems Society | British Library Conference Proceedings | 1994





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