Suchergebnisse - "Complex backpropagation algorithm"

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  1. 1

    Complex-Valued Neural Networks: A Comprehensive Survey von Lee, ChiYan, Hasegawa, Hideyuki, Gao, Shangce

    ISSN: 2329-9266, 2329-9274
    Veröffentlicht: Piscataway Chinese Association of Automation (CAA) 01.08.2022
    Veröffentlicht in IEEE/CAA journal of automatica sinica (01.08.2022)
    “… Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared to their real counter-parts in speech enhancement, image and signal …”
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  2. 2

    Convergence analysis of fully complex backpropagation algorithm based on Wirtinger calculus von Zhang, Huisheng, Liu, Xiaodong, Xu, Dongpo, Zhang, Ying

    ISSN: 1871-4080, 1871-4099
    Veröffentlicht: Dordrecht Springer Netherlands 01.06.2014
    Veröffentlicht in Cognitive neurodynamics (01.06.2014)
    “… This paper considers the fully complex backpropagation algorithm (FCBPA) for training the fully complex-valued neural networks. We prove both the weak …”
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    Journal Article
  3. 3

    Convergence of Split-Complex Backpropagation Algorithm with a Momentum von Zhang, Huisheng, Wu, Wei

    ISSN: 1210-0552, 2336-4335
    Veröffentlicht: Prague Institute of Information and Computer Technology 01.01.2011
    Veröffentlicht in Neural Network World (01.01.2011)
    “… This paper investigates a split-complex backpropagation algorithm with momentum (SCBPM) for complex-valued neural networks. Convergence results for SCBPM are …”
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  4. 4

    Noise Benefits in Complex-Valued Neural Networks von Ren, Lei, Liu, Chunyang, Zhang, Ying

    Veröffentlicht: IEEE 27.07.2023
    “… In this paper, we investigate the effectiveness of noise that is injected into the output of complex-valued neural networks. We first establish the equivalence …”
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  5. 5

    Nonlinear blind equalization schemes using complex-valued multilayer feedforward neural networks von YOU, C, HONG, D

    ISSN: 1045-9227
    Veröffentlicht: New York, NY IEEE 01.11.1998
    Veröffentlicht in IEEE transactions on neural networks (01.11.1998)
    “… Among the useful blind equalization algorithms, stochastic-gradient iterative equalization schemes are based on minimizing a nonconvex and nonlinear cost …”
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