These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

94 related articles for article (PubMed ID: 18267731)

  • 1. Inhibitory grids and the assignment problem.
    Wolfe WJ; Macmillan JM; Brady G; Mathews R; Rothman JA; Mathis D; Orosz MD; Anderson C; Alaghband G
    IEEE Trans Neural Netw; 1993; 4(2):319-31. PubMed ID: 18267731
    [TBL] [Abstract][Full Text] [Related]  

  • 2. K-winner networks.
    Wolfe WJ; Mathis D; Anderson C; Rothman J; Gottler M; Brady G; Walker R; Duane G; Alaghband G
    IEEE Trans Neural Netw; 1991; 2(2):310-5. PubMed ID: 18276385
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A theoretical investigation into the performance of the Hopfield model.
    Aiyer SB; Niranjan M; Fallside F
    IEEE Trans Neural Netw; 1990; 1(2):204-15. PubMed ID: 18282837
    [TBL] [Abstract][Full Text] [Related]  

  • 4. "Optimal" Hopfield network for combinatorial optimization with linear cost function.
    Matsuda S
    IEEE Trans Neural Netw; 1998; 9(6):1319-30. PubMed ID: 18255812
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Statistical mechanics of structural and temporal credit assignment effects on learning in neural networks.
    Saito H; Katahira K; Okanoya K; Okada M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2011 May; 83(5 Pt 1):051125. PubMed ID: 21728508
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A hybrid hopfield network-simulated annealing approach for frequency assignment in satellite communications systems.
    Salcedo-Sanz S; Santiago-Mozos R; Bousoño-Calzón C
    IEEE Trans Syst Man Cybern B Cybern; 2004 Apr; 34(2):1108-16. PubMed ID: 15376856
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Orthogonal projections applied to the assignment problem.
    Wolfe WJ; Ulmer RM
    IEEE Trans Neural Netw; 1997; 8(3):774-8. PubMed ID: 18255676
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis and design of primal-dual assignment networks.
    Wang J; Xia Y
    IEEE Trans Neural Netw; 1998; 9(1):183-94. PubMed ID: 18252440
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Primal and dual assignment networks.
    Wang J
    IEEE Trans Neural Netw; 1997; 8(3):784-90. PubMed ID: 18255678
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new gradient-based neural network for solving linear and quadratic programming problems.
    Leung Y; Chen KZ; Jiao YC; Gao XB; Leung KS
    IEEE Trans Neural Netw; 2001; 12(5):1074-83. PubMed ID: 18249935
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A neural network approach to job-shop scheduling.
    Zhou DN; Cherkassky V; Baldwin TR; Olson DE
    IEEE Trans Neural Netw; 1991; 2(1):175-9. PubMed ID: 18276371
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On the computational complexity of binary and analog symmetric hopfield nets.
    Sima J; Orponen P; Antti-Poika T
    Neural Comput; 2000 Dec; 12(12):2965-89. PubMed ID: 11112262
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mathematical improvement of the Hopfield model for feasible solutions to the traveling salesman problem by a synapse dynamical system.
    Takahashi Y
    IEEE Trans Syst Man Cybern B Cybern; 1998; 28(6):906-19. PubMed ID: 18256012
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A delayed neural network for solving linear projection equations and its analysis.
    Liu Q; Cao J; Xia Y
    IEEE Trans Neural Netw; 2005 Jul; 16(4):834-43. PubMed ID: 16121725
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Linear and quadratic programming neural network analysis.
    Maa CY; Shanblatt MA
    IEEE Trans Neural Netw; 1992; 3(4):580-94. PubMed ID: 18276458
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel neural network for nonlinear convex programming.
    Gao XB
    IEEE Trans Neural Netw; 2004 May; 15(3):613-21. PubMed ID: 15384549
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A high-performance feedback neural network for solving convex nonlinear programming problems.
    Leung Y; Chen KZ; Gao XB
    IEEE Trans Neural Netw; 2003; 14(6):1469-77. PubMed ID: 18244592
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Linear Hopfield networks and constrained optimization.
    Lendaris GG; Mathia K; Saeks R
    IEEE Trans Syst Man Cybern B Cybern; 1999; 29(1):114-8. PubMed ID: 18252285
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Solving the assignment problem using continuous-time and discrete-time improved dual networks.
    Hu X; Wang J
    IEEE Trans Neural Netw Learn Syst; 2012 May; 23(5):821-7. PubMed ID: 24806130
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.