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 *

210 related articles for article (PubMed ID: 18244754)

  • 21. Reinforcement-learning-based output-feedback control of nonstrict nonlinear discrete-time systems with application to engine emission control.
    Shih P; Kaul BC; Jagannathan S; Drallmeier JA
    IEEE Trans Syst Man Cybern B Cybern; 2009 Oct; 39(5):1162-79. PubMed ID: 19336317
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Integrating temporal difference methods and self-organizing neural networks for reinforcement learning with delayed evaluative feedback.
    Tan AH; Lu N; Xiao D
    IEEE Trans Neural Netw; 2008 Feb; 19(2):230-44. PubMed ID: 18269955
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Removing additive noise via neuro-fuzzy-based reinforcement learning.
    Lin CS; Kyriakakis C
    J Acoust Soc Am; 2008 Aug; 124(2):1026-37. PubMed ID: 18681594
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Attention-gated reinforcement learning of internal representations for classification.
    Roelfsema PR; van Ooyen A
    Neural Comput; 2005 Oct; 17(10):2176-214. PubMed ID: 16105222
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A spiking neural network model of an actor-critic learning agent.
    Potjans W; Morrison A; Diesmann M
    Neural Comput; 2009 Feb; 21(2):301-39. PubMed ID: 19196231
    [TBL] [Abstract][Full Text] [Related]  

  • 26. New approach to intelligent control systems with self-exploring process.
    Chen LH; Chiang CH
    IEEE Trans Syst Man Cybern B Cybern; 2003; 33(1):56-66. PubMed ID: 18238157
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A recurrent fuzzy-neural model for dynamic system identification.
    Mastorocostas PA; Theocharis JB
    IEEE Trans Syst Man Cybern B Cybern; 2002; 32(2):176-90. PubMed ID: 18238117
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An adaptive fuzzy-neural-network controller for ultrasonic motor drive using the LLCC resonant technique.
    Lin FJ; Wai RJ; Lin HH
    IEEE Trans Ultrason Ferroelectr Freq Control; 1999; 46(3):715-27. PubMed ID: 18238472
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Reliability of internal prediction/estimation and its application. I. Adaptive action selection reflecting reliability of value function.
    Sakaguchi Y; Takano M
    Neural Netw; 2004 Sep; 17(7):935-52. PubMed ID: 15312837
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Multiple model-based reinforcement learning.
    Doya K; Samejima K; Katagiri K; Kawato M
    Neural Comput; 2002 Jun; 14(6):1347-69. PubMed ID: 12020450
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Reinforcement learning for a biped robot based on a CPG-actor-critic method.
    Nakamura Y; Mori T; Sato MA; Ishii S
    Neural Netw; 2007 Aug; 20(6):723-35. PubMed ID: 17412559
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An adaptive fuzzy neural network for MIMO system model approximation in high-dimensional spaces.
    Chak CK; Feng G; Ma J
    IEEE Trans Syst Man Cybern B Cybern; 1998; 28(3):436-46. PubMed ID: 18255960
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A graph-based evolutionary algorithm: Genetic Network Programming (GNP) and its extension using reinforcement learning.
    Mabu S; Hirasawa K; Hu J
    Evol Comput; 2007; 15(3):369-98. PubMed ID: 17705783
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Towards autonomous neuroprosthetic control using Hebbian reinforcement learning.
    Mahmoudi B; Pohlmeyer EA; Prins NW; Geng S; Sanchez JC
    J Neural Eng; 2013 Dec; 10(6):066005. PubMed ID: 24100047
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Genetic algorithm-based neural fuzzy decision tree for mixed scheduling in ATM networks.
    Lin CT; Chung IF; Pu HC; Lee' TH; Chang JY
    IEEE Trans Syst Man Cybern B Cybern; 2002; 32(6):832-45. PubMed ID: 18244889
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Improved Adaptive-Reinforcement Learning Control for morphing unmanned air vehicles.
    Valasek J; Doebbler J; Tandale MD; Meade AJ
    IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):1014-20. PubMed ID: 18632393
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Evolutionary learning of BMF fuzzy-neural networks using a reduced-form genetic algorithm.
    Wang WY; Li YH
    IEEE Trans Syst Man Cybern B Cybern; 2003; 33(6):966-76. PubMed ID: 18238247
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Adaptive learning in tracking control based on the dual critic network design.
    Ni Z; He H; Wen J
    IEEE Trans Neural Netw Learn Syst; 2013 Jun; 24(6):913-28. PubMed ID: 24808473
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
    Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG
    Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Neural network and fuzzy control in FES-assisted locomotion for the hemiplegic.
    Chen YL; Chen SC; Chen WL; Hsiao CC; Kuo TS; Lai JS
    J Med Eng Technol; 2004; 28(1):32-8. PubMed ID: 14660183
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.