In this paper, an improved Levenberg-Marquardt learning algorithm based on terminal attractors for feedforward neural networks is proposed. The effectiveness of the proposed algorithm in improving learning speed is shown by the simulation results.


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    Titel :

    An improved Levenberg-Marquardt learning algorithm for neural networks based on terminal attractors


    Beteiligte:
    Batsukh Batbayar, (Autor:in) / Xinghuo Yu, (Autor:in)


    Erscheinungsdatum :

    2008-12-01


    Format / Umfang :

    549621 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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