In this paper we outline some of the changes needed to implement multilayer feed-forward neural networks using the demonstrator hardware which was based on around an array of vertical cavity surface emitting lasers. Network simulations show that the neural network demonstrator hardware can be used to implement two different classes of feed-forward network, the multilayer perceptron (MLP) and radial basis function (RBF) networks. In both cases, the actual training of the networks is performed offline using hardware simulations and the weighted interconnections between neurons are fixed before application to the optoelectronic hardware.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optoelectronic neural networks: mapping multilayer architectures on to an optoelectronic demonstrator


    Beteiligte:
    Waddie, A.J. (Autor:in) / Symington, K.J. (Autor:in) / Snowdon, J.F. (Autor:in) / Taghizadeh, M.R. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    87986 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Modular architectures for optoelectronic multistage interconnection networks

    Kiamilev, F. / Stevens, E. / Krishnamoorthy, A. V. et al. | British Library Online Contents | 1994


    Backpropagation Learning Using Positive Weights for Multilayer Optoelectronic Neural Networks

    IEEE; Lasers and Electro-Optics Society | British Library Conference Proceedings | 1996



    Interconnection theory and optoelectronic computing architectures

    Ozaktas, H. M. | British Library Conference Proceedings | 1995