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 *

96 related articles for article (PubMed ID: 18276348)

  • 1. Associative learning in random environments using neural networks.
    Narendra KS; Mukhopadhyay S
    IEEE Trans Neural Netw; 1991; 2(1):20-31. PubMed ID: 18276348
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Network capacity analysis for latent attractor computation.
    Doboli S; Minai AA
    Network; 2003 May; 14(2):273-302. PubMed ID: 12790185
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Reinforcement learning with internal expectation in the random neural networks for cascaded decisions.
    Halici U
    Biosystems; 2001; 63(1-3):21-34. PubMed ID: 11595327
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integration of reinforcement learning and optimal decision-making theories of the basal ganglia.
    Bogacz R; Larsen T
    Neural Comput; 2011 Apr; 23(4):817-51. PubMed ID: 21222528
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Controlling chaos by GA-based reinforcement learning neural network.
    Lin CT; Jou CP
    IEEE Trans Neural Netw; 1999; 10(4):846-59. PubMed ID: 18252582
    [TBL] [Abstract][Full Text] [Related]  

  • 6. BAM learning of nonlinearly separable tasks by using an asymmetrical output function and reinforcement learning.
    Chartier S; Boukadoum M; Amiri M
    IEEE Trans Neural Netw; 2009 Aug; 20(8):1281-92. PubMed ID: 19596635
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ANASA-a stochastic reinforcement algorithm for real-valued neural computation.
    Vasilakos AV; Loukas NH
    IEEE Trans Neural Netw; 1996; 7(4):830-42. PubMed ID: 18263479
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Learning active fusion of multiple experts' decisions: an attention-based approach.
    Mirian MS; Ahmadabadi MN; Araabi BN; Siegwart RR
    Neural Comput; 2011 Feb; 23(2):558-91. PubMed ID: 21105824
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Associative memory in quaternionic Hopfield neural network.
    Isokawa T; Nishimura H; Kamiura N; Matsui N
    Int J Neural Syst; 2008 Apr; 18(2):135-45. PubMed ID: 18452247
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Biologically plausible learning in neural networks: a lesson from bacterial chemotaxis.
    Shimansky YP
    Biol Cybern; 2009 Dec; 101(5-6):379-85. PubMed ID: 19844738
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation.
    Vuković N; Miljković Z
    Neural Netw; 2013 Oct; 46():210-26. PubMed ID: 23811384
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Associative memory for online learning in noisy environments using self-organizing incremental neural network.
    Sudo A; Sato A; Hasegawa O
    IEEE Trans Neural Netw; 2009 Jun; 20(6):964-72. PubMed ID: 19398402
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Statistical mechanics of reward-modulated learning in decision-making networks.
    Katahira K; Okanoya K; Okada M
    Neural Comput; 2012 May; 24(5):1230-70. PubMed ID: 22295982
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A fault-tolerant regularizer for RBF networks.
    Leung CS; Sum JP
    IEEE Trans Neural Netw; 2008 Mar; 19(3):493-507. PubMed ID: 18334367
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Backpropagation algorithm adaptation parameters using learning automata.
    Beigy H; Meybodi MR
    Int J Neural Syst; 2001 Jun; 11(3):219-28. PubMed ID: 11574959
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems.
    Liu YJ; Tang L; Tong S; Chen CL; Li DJ
    IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):165-76. PubMed ID: 25438326
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A new Jacobian matrix for optimal learning of single-layer neural networks.
    Peng JX; Li K; Irwin GW
    IEEE Trans Neural Netw; 2008 Jan; 19(1):119-29. PubMed ID: 18269943
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Last-position elimination-based learning automata.
    Zhang J; Wang C; Zhou M
    IEEE Trans Cybern; 2014 Dec; 44(12):2484-92. PubMed ID: 24710837
    [TBL] [Abstract][Full Text] [Related]  

  • 19. GA-based fuzzy reinforcement learning for control of a magnetic bearing system.
    Lin CT; Jou CP
    IEEE Trans Syst Man Cybern B Cybern; 2000; 30(2):276-89. PubMed ID: 18244754
    [TBL] [Abstract][Full Text] [Related]  

  • 20. On-line retrainable neural networks: improving the performance of neural networks in image analysis problems.
    Doulamis AD; Doulamis ND; Kollias SD
    IEEE Trans Neural Netw; 2000; 11(1):137-55. PubMed ID: 18249746
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.