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Title

A NEW OPTIMIZATION METHOD BY RING PROBABILISTIC LOGIC NEURAL NETWORKS

Pages

  43-57

Abstract

 By adopting the concept of the probabilistic logic neuron which represents a class of RAM- based NEURAL NETWORKS, this paper introduces a model-free optimization method called Ring Probabilistic Logic NEURAL NETWORKS (RPLNN) that are more suitable for optimization problems. To highlight performance of the RPLNN, some different optimization problems are considered. The simulation results show that the Ring Probabilistic Logic NEURAL NETWORKS remarkably outperform the conventional GENETIC ALGORITHMS and some gradient based methods as well.

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    APA: Copy

    SEYFIPOUR, N., MENHAJ, M.B., & NIK RAVESH, S.K.Y.. (2003). A NEW OPTIMIZATION METHOD BY RING PROBABILISTIC LOGIC NEURAL NETWORKS. AMIRKABIR, 14(53), 43-57. SID. https://sid.ir/paper/537886/en

    Vancouver: Copy

    SEYFIPOUR N., MENHAJ M.B., NIK RAVESH S.K.Y.. A NEW OPTIMIZATION METHOD BY RING PROBABILISTIC LOGIC NEURAL NETWORKS. AMIRKABIR[Internet]. 2003;14(53):43-57. Available from: https://sid.ir/paper/537886/en

    IEEE: Copy

    N. SEYFIPOUR, M.B. MENHAJ, and S.K.Y. NIK RAVESH, “A NEW OPTIMIZATION METHOD BY RING PROBABILISTIC LOGIC NEURAL NETWORKS,” AMIRKABIR, vol. 14, no. 53, pp. 43–57, 2003, [Online]. Available: https://sid.ir/paper/537886/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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