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Journal Abstract Search


367 related items for PubMed ID: 19661003

  • 1. An alternative recurrent neural network for solving variational inequalities and related optimization problems.
    Hu X, Zhang B.
    IEEE Trans Syst Man Cybern B Cybern; 2009 Dec; 39(6):1640-5. PubMed ID: 19661003
    [Abstract] [Full Text] [Related]

  • 2. A recurrent neural network based on projection operator for extended general variational inequalities.
    Liu Q, Cao J.
    IEEE Trans Syst Man Cybern B Cybern; 2010 Jun; 40(3):928-38. PubMed ID: 19933009
    [Abstract] [Full Text] [Related]

  • 3. Neural networks for nonlinear and mixed complementarity problems and their applications.
    Dang C, Leung Y, Gao XB, Chen KZ.
    Neural Netw; 2004 Mar; 17(2):271-83. PubMed ID: 15036344
    [Abstract] [Full Text] [Related]

  • 4. A cooperative recurrent neural network for solving L(1) estimation problems with general linear constraints.
    Xia Y, Kamel MS.
    Neural Comput; 2008 Mar; 20(3):844-72. PubMed ID: 18370841
    [Abstract] [Full Text] [Related]

  • 5. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization.
    Liu Q, Guo Z, Wang J.
    Neural Netw; 2012 Feb; 26():99-109. PubMed ID: 22019190
    [Abstract] [Full Text] [Related]

  • 6. Multiobjective hybrid optimization and training of recurrent neural networks.
    Delgado M, Cuéllar MP, Pegalajar MC.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):381-403. PubMed ID: 18348922
    [Abstract] [Full Text] [Related]

  • 7. Design of recurrent neural networks for solving constrained least absolute deviation problems.
    Hu X, Sun C, Zhang B.
    IEEE Trans Neural Netw; 2010 Jul; 21(7):1073-86. PubMed ID: 20562048
    [Abstract] [Full Text] [Related]

  • 8. A new neural network for solving nonlinear projection equations.
    Xia Y, Feng G.
    Neural Netw; 2007 Jul; 20(5):577-89. PubMed ID: 17452092
    [Abstract] [Full Text] [Related]

  • 9. An alternative approach for neural network evolution with a genetic algorithm: crossover by combinatorial optimization.
    García-Pedrajas N, Ortiz-Boyer D, Hervás-Martínez C.
    Neural Netw; 2006 May; 19(4):514-28. PubMed ID: 16343847
    [Abstract] [Full Text] [Related]

  • 10. A novel neural network for variational inequalities with linear and nonlinear constraints.
    Gao XB, Liao LZ, Qi L.
    IEEE Trans Neural Netw; 2005 Nov; 16(6):1305-17. PubMed ID: 16342476
    [Abstract] [Full Text] [Related]

  • 11. Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network.
    Hu X, Wang J.
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1487-99. PubMed ID: 17131663
    [Abstract] [Full Text] [Related]

  • 12. A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints.
    Xia Y, Feng G, Wang J.
    IEEE Trans Neural Netw; 2008 Aug; 19(8):1340-53. PubMed ID: 18701366
    [Abstract] [Full Text] [Related]

  • 13. A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.
    Xia Y, Feng G, Wang J.
    Neural Netw; 2004 Sep; 17(7):1003-15. PubMed ID: 15312842
    [Abstract] [Full Text] [Related]

  • 14. Approximation modeling for the online performance management of distributed computing systems.
    Kusic D, Kandasamy N, Jiang G.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Oct; 38(5):1221-33. PubMed ID: 18784008
    [Abstract] [Full Text] [Related]

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  • 16. A novel recurrent neural network with finite-time convergence for linear programming.
    Liu Q, Cao J, Chen G.
    Neural Comput; 2010 Nov; 22(11):2962-78. PubMed ID: 20804382
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