Suchergebnisse - "Batch gradient learning algorithm"

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  1. 1

    Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks von Zhang, Huisheng, Zhang, Ying, Zhu, Shuai, Xu, Dongpo

    ISSN: 0925-2312, 1872-8286
    Veröffentlicht: Elsevier B.V 24.09.2020
    Veröffentlicht in Neurocomputing (Amsterdam) (24.09.2020)
    “… This paper investigates the fully complex mini-batch gradient algorithm for training complex-valued neural networks. Mini-batch gradient method has been widely …”
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  2. 2

    Batch Gradient Learning Algorithm with Smoothing L1 Regularization for Feedforward Neural Networks von Mohamed, Khidir Shaib

    ISSN: 2073-431X, 2073-431X
    Veröffentlicht: Basel MDPI AG 01.01.2023
    Veröffentlicht in Computers (Basel) (01.01.2023)
    “… In this paper, we propose a batch gradient learning algorithm with smoothing L1 regularization (BGSL1 …”
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  3. 3

    Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma–Pi–Sigma neural networks von Liu, Yan, Li, Zhengxue, Yang, Dakun, Mohamed, Kh.Sh, Wang, Jing, Wu, Wei

    ISSN: 0925-2312, 1872-8286
    Veröffentlicht: Elsevier B.V 03.03.2015
    Veröffentlicht in Neurocomputing (Amsterdam) (03.03.2015)
    “… Sigma–Pi–Sigma neural networks are known to provide more powerful mapping capability than traditional feed-forward neural networks. The L1/2 regularizer is …”
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  4. 4

    Batch Gradient Learning Algorithm with Smoothing Regularization for Feedforward Neural Networks von Khidir Shaib Mohamed

    ISSN: 2073-431X
    Veröffentlicht: MDPI AG 01.12.2022
    Veröffentlicht in Computers (Basel) (01.12.2022)
    “… In this paper, we propose a batch gradient learning algorithm with smoothing L1 regularization (BGS L1 …”
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    Journal Article
  5. 5

    Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions von Fan, Qinwei, Kang, Qian, Zurada, Jacek M.

    ISSN: 0020-0255, 1872-6291
    Veröffentlicht: Elsevier Inc 01.03.2022
    Veröffentlicht in Information sciences (01.03.2022)
    “… This work proves the deterministic convergence of the Sigma-Pi-Sigma neural network based on the batch gradient learning algorithm under certain relaxed conditions …”
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  6. 6

    Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection von Lu, Zhiwu

    ISSN: 1370-4621, 1573-773X
    Veröffentlicht: Dordrecht Springer 01.02.2007
    Veröffentlicht in Neural processing letters (01.02.2007)
    “… ) learning on Gaussian mixture via a batch gradient learning algorithm. It is demonstrated by the simulation experiments that this gradient ERL learning algorithm …”
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