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 *

110 related articles for article (PubMed ID: 10976144)

  • 1. Lambda-opt neural approaches to quadratic assignment problems.
    Ishii S; Niitsuma H
    Neural Comput; 2000 Sep; 12(9):2209-25. PubMed ID: 10976144
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A mixed analog/digital chaotic neuro-computer system for quadratic assignment problems.
    Horio Y; Ikeguchi T; Aihara K
    Neural Netw; 2005; 18(5-6):505-13. PubMed ID: 16087316
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimization via intermittency with a self-organizing neural network.
    Kwok T; Smith KA
    Neural Comput; 2005 Nov; 17(11):2454-81. PubMed ID: 16156935
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions.
    Ceberio J; Calvo B; Mendiburu A; Lozano JA
    Evol Comput; 2019; 27(2):291-311. PubMed ID: 29446983
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust pole assignment for synthesizing feedback control systems using recurrent neural networks.
    Le X; Wang J
    IEEE Trans Neural Netw Learn Syst; 2014 Feb; 25(2):383-93. PubMed ID: 24807036
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Biogeography-Based Optimization Algorithm Hybridized with Tabu Search for the Quadratic Assignment Problem.
    Lim WL; Wibowo A; Desa MI; Haron H
    Comput Intell Neurosci; 2016; 2016():5803893. PubMed ID: 26819585
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem.
    Salcedo-Sanz S; Yao X
    IEEE Trans Syst Man Cybern B Cybern; 2004 Dec; 34(6):2343-53. PubMed ID: 15619934
    [TBL] [Abstract][Full Text] [Related]  

  • 8. New learning automata based algorithms for adaptation of backpropagation algorithm parameters.
    Meybodi MR; Beigy H
    Int J Neural Syst; 2002 Feb; 12(1):45-67. PubMed ID: 11852444
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Constrained neural approaches to quadratic assignment problems.
    Ishii S; Sato M
    Neural Netw; 1998 Aug; 11(6):1073-1082. PubMed ID: 12662776
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Singular perturbation analysis of competitive neural networks with different time scales.
    Meyer-Bäse A; Ohl F; Scheich H
    Neural Comput; 1996 Nov; 8(8):1731-42. PubMed ID: 8888615
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Constraint satisfaction problems and neural networks: A statistical physics perspective.
    Mézard M; Mora T
    J Physiol Paris; 2009; 103(1-2):107-13. PubMed ID: 19616623
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Adaptiveness in monotone pseudo-Boolean optimization and stochastic neural computation.
    Grossi G
    Int J Neural Syst; 2009 Aug; 19(4):241-52. PubMed ID: 19731398
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Solving quadratic programming problems by delayed projection neural network.
    Yang Y; Cao J
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1630-4. PubMed ID: 17131675
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Design of the inverse function delayed neural network for solving combinatorial optimization problems.
    Hayakawa Y; Nakajima K
    IEEE Trans Neural Netw; 2010 Feb; 21(2):224-37. PubMed ID: 20007029
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The generalized quadratic knapsack problem. A neuronal network approach.
    Talaván PM; Yáñez J
    Neural Netw; 2006 May; 19(4):416-28. PubMed ID: 16488117
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On the probabilistic optimization of spiking neural networks.
    Schliebs S; Kasabov N; Defoin-Platel M
    Int J Neural Syst; 2010 Dec; 20(6):481-500. PubMed ID: 21117271
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Projection Neural Network for Constrained Quadratic Minimax Optimization.
    Liu Q; Wang J
    IEEE Trans Neural Netw Learn Syst; 2015 Nov; 26(11):2891-900. PubMed ID: 25966485
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Advanced search algorithms for information-theoretic learning with kernel-based estimators.
    Morejon RA; Principe JC
    IEEE Trans Neural Netw; 2004 Jul; 15(4):874-84. PubMed ID: 15461080
    [TBL] [Abstract][Full Text] [Related]  

  • 19. FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization.
    Grossi G; Pedersini F
    Neural Netw; 2008 Aug; 21(6):872-9. PubMed ID: 18684590
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Leap-frog is a robust algorithm for training neural networks.
    Holm JE; Botha EC
    Network; 1999 Feb; 10(1):1-13. PubMed ID: 10372759
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.