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    A new learning algorithm for RBF neural networks

    A new learning algorithm for RBF neural networks


    A new method is presented in order to solve the problem of randomness of the initial selection for nearest neighbor clustering algorithm and redundant nodes introduced by subtractive clustering algorithm,namely, the algorithm that contain pruning technique of subtractive clustering algorithm and nearest neighbor clustering algorithm combine together,and accomplish the learnimg of training samples. The simulation results show that the effectiveness of the new algorithm.

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    Titel :

    A new learning algorithm for RBF neural networks

    Beteiligte:
    Man, Chun-tao (Autor:in) / Yang, Xu (Autor:in) / Zhang, Li-yong (Autor:in)
    Erschienen in:

    2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics ; 1-4

    Erscheinungsdatum :

    2008-12-01

    Format / Umfang :

    440071 byte

    ISBN :

    978-1-4244-3908-9 , 978-1-4244-2385-9 , 978-1-4244-2386-6

    DOI :

    https://doi.org/10.1109/ISSCAA.2008.4776251

    Medientyp :

    Aufsatz (Konferenz)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

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