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PUBMED FOR HANDHELDS

Journal Abstract Search


254 related items for PubMed ID: 24184789

  • 1. Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation.
    Li S, Li Y.
    IEEE Trans Cybern; 2014 Aug; 44(8):1397-1407. PubMed ID: 24184789
    [Abstract] [Full Text] [Related]

  • 2. Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation.
    Xiao L, Zhang Z, Zhang Z, Li W, Li S.
    Neural Netw; 2018 Sep; 105():185-196. PubMed ID: 29870926
    [Abstract] [Full Text] [Related]

  • 3. Zeroing Neural Network With Coefficient Functions and Adjustable Parameters for Solving Time-Variant Sylvester Equation.
    Wu W, Zhang Y.
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6757-6766. PubMed ID: 36256719
    [Abstract] [Full Text] [Related]

  • 4. A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation.
    Zhang Z, Zheng L, Weng J, Mao Y, Lu W, Xiao L.
    IEEE Trans Cybern; 2018 Nov; 48(11):3135-3148. PubMed ID: 29994381
    [Abstract] [Full Text] [Related]

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  • 7. A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equations.
    Xiao L, Cao P, Wang Z, Liu S.
    Neural Netw; 2024 Feb; 170():494-505. PubMed ID: 38039686
    [Abstract] [Full Text] [Related]

  • 8. An Improved Recurrent Neural Network for Complex-Valued Systems of Linear Equation and Its Application to Robotic Motion Tracking.
    Ding L, Xiao L, Liao B, Lu R, Peng H.
    Front Neurorobot; 2017 Feb; 11():45. PubMed ID: 28919855
    [Abstract] [Full Text] [Related]

  • 9. Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application.
    Yan J, Jin L, Luo X, Li S.
    IEEE Trans Neural Netw Learn Syst; 2024 Sep; 35(9):12553-12563. PubMed ID: 37037242
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  • 11. Zeroing Neural Network for Solving Time-Varying Linear Equation and Inequality Systems.
    Xu F, Li Z, Nie Z, Shao H, Guo D.
    IEEE Trans Neural Netw Learn Syst; 2019 Aug; 30(8):2346-2357. PubMed ID: 30582557
    [Abstract] [Full Text] [Related]

  • 12. Zhang neural network for online solution of time-varying linear matrix inequality aided with an equality conversion.
    Guo D, Zhang Y.
    IEEE Trans Neural Netw Learn Syst; 2014 Feb; 25(2):370-82. PubMed ID: 24807035
    [Abstract] [Full Text] [Related]

  • 13. Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations.
    Xiao L, Liao B, Li S, Chen K.
    Neural Netw; 2018 Feb; 98():102-113. PubMed ID: 29223869
    [Abstract] [Full Text] [Related]

  • 14. A class of finite-time dual neural networks for solving quadratic programming problems and its k-winners-take-all application.
    Li S, Li Y, Wang Z.
    Neural Netw; 2013 Mar; 39():27-39. PubMed ID: 23334164
    [Abstract] [Full Text] [Related]

  • 15. Zhang neural network versus gradient neural network for solving time-varying linear inequalities.
    Xiao L, Zhang Y.
    IEEE Trans Neural Netw; 2011 Oct; 22(10):1676-84. PubMed ID: 21846604
    [Abstract] [Full Text] [Related]

  • 16. A complex-valued neural dynamical optimization approach and its stability analysis.
    Zhang S, Xia Y, Zheng W.
    Neural Netw; 2015 Jan; 61():59-67. PubMed ID: 25462634
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  • 18. ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation.
    Xiao L, Huang W, Li X, Sun F, Liao Q, Jia L, Li J, Liu S.
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):9981-9991. PubMed ID: 35412991
    [Abstract] [Full Text] [Related]

  • 19. Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation.
    Qi Z, Ning Y, Xiao L, He Y, Luo J, Luo B.
    IEEE Trans Neural Netw Learn Syst; 2024 Jul; 35(7):9408-9416. PubMed ID: 37018606
    [Abstract] [Full Text] [Related]

  • 20. Complex Neural Network Models for Time-Varying Drazin Inverse.
    Wang XZ, Wei Y, Stanimirović PS.
    Neural Comput; 2016 Dec; 28(12):2790-2824. PubMed ID: 27391685
    [Abstract] [Full Text] [Related]


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