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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


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


    Erscheinungsdatum :

    01.12.2008


    Format / Umfang :

    549621 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Neural Network Supervised Control Based on Levenberg-Marquardt Algorithm

    Hong, Z. / Ruixiang, Z. / Tingqi, L. | British Library Online Contents | 2002


    Aerodynamic coefficients modeling using Levenberg–Marquardt algorithm and network

    Wang, Zhigang / Li, Aijun / Wang, Lihao et al. | Emerald Group Publishing | 2021




    Leaks Detection and Characterization in Diesel Air Path Using Levenberg-Marquardt Neural Networks

    Benkaci, M. / Hoblos, G. / Bencherif, K. et al. | British Library Conference Proceedings | 2012