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21 ta ish

Ish: NONLINEAR SYSTEM IDENTIFICATION BASED ON FUZZY RADIAL BASIS NEURAL NETWORK WITH MULTI-CONNECTED WEIGHT CONNECTIONS

  1. ANFIS: adaptive-network-based fuzzy inference system

    Jyh‐Shing Roger Jang

    Maqola199312 iqtibos
    ABI

  2. APPROACH TO THE SYNTHESIS OF NEURAL NETWORK STRUCTURE DURING CLASSIFICATION

    Avazjon Marakhimov, Kabul Khudaybergenov

    MaqolaOchiq kirishNeural Networks and ApplicationsInternational Journal of Computing20208 iqtibos
    ABI

  3. A Fuzzy MLP Approach for Nonlinear System Identification

    Avazjon Marakhimov, Kabul Khudaybergenov

    MaqolaNeural Networks and ApplicationsJournal of Mathematical Sciences20225 iqtibos
    ABI

  4. On the approximation by neural networks with bounded number of neurons in hidden layers

    Vugar E. Ismailov

    MaqolaOchiq kirish20145 iqtibos
    ABI

  5. Kolmogorov's theorem and multilayer neural networks

    Věra Kůrková

    Maqola19924 iqtibos
    ABI

  6. Lower bounds for approximation by MLP neural networks

    Vitaly Maiorov, Allan Pinkus

    Maqola19994 iqtibos
    ABI

  7. Deep belief networks

    Geoffrey E. Hinton

    MaqolaOchiq kirish20094 iqtibos
    ABI

  8. Neurotransmitters as growth regulatory signals: role of receptors and second messengers

    Jean M. Lauder

    Sharh maqola19934 iqtibos
    ABI

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