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.
210 related articles for article (PubMed ID: 18244754)
1. 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]
2. 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]
3. Reinforcement learning for an ART-based fuzzy adaptive learning control network. Lin CJ; Lin CT IEEE Trans Neural Netw; 1996; 7(3):709-31. PubMed ID: 18263467 [TBL] [Abstract][Full Text] [Related]
4. A parallel fuzzy inference model with distributed prediction scheme for reinforcement learning. Kuo YH; Hsu JP; Wang CW IEEE Trans Syst Man Cybern B Cybern; 1998; 28(2):160-72. PubMed ID: 18255934 [TBL] [Abstract][Full Text] [Related]
5. A reinforcement neuro-fuzzy combiner for multiobjective control. Lin CT; Chung IF IEEE Trans Syst Man Cybern B Cybern; 1999; 29(6):726-44. PubMed ID: 18252353 [TBL] [Abstract][Full Text] [Related]
6. Genetic reinforcement learning through symbiotic evolution for fuzzy controller design. Juang CF; Lin JY; Lin CT IEEE Trans Syst Man Cybern B Cybern; 2000; 30(2):290-302. PubMed ID: 18244755 [TBL] [Abstract][Full Text] [Related]
7. Reinforcement learning controller design for affine nonlinear discrete-time systems using online approximators. Yang Q; Jagannathan S IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):377-90. PubMed ID: 21947529 [TBL] [Abstract][Full Text] [Related]
8. Reinforcement interval type-2 fuzzy controller design by online rule generation and q-value-aided ant colony optimization. Juang CF; Hsu CH IEEE Trans Syst Man Cybern B Cybern; 2009 Dec; 39(6):1528-42. PubMed ID: 19482582 [TBL] [Abstract][Full Text] [Related]
9. Control of magnetic bearing systems via the Chebyshev polynomial-based unified model (CPBUM) neural network. Jeng JT; Lee TT IEEE Trans Syst Man Cybern B Cybern; 2000; 30(1):85-92. PubMed ID: 18244731 [TBL] [Abstract][Full Text] [Related]
10. Control of nonaffine nonlinear discrete-time systems using reinforcement-learning-based linearly parameterized neural networks. Yang Q; Vance JB; Jagannathan S IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):994-1001. PubMed ID: 18632390 [TBL] [Abstract][Full Text] [Related]
11. The role of multisensor data fusion in neuromuscular control of a sagittal arm with a pair of muscles using actor-critic reinforcement learning method. Golkhou V; Parnianpour M; Lucas C Technol Health Care; 2004; 12(6):425-38. PubMed ID: 15671597 [TBL] [Abstract][Full Text] [Related]
12. A neural fuzzy system with fuzzy supervised learning. Lin CT; Lu YC IEEE Trans Syst Man Cybern B Cybern; 1996; 26(5):744-63. PubMed ID: 18263073 [TBL] [Abstract][Full Text] [Related]
13. Reinforcement learning to adaptive control of nonlinear systems. Hwang KS; Tan SW; Tsai MC IEEE Trans Syst Man Cybern B Cybern; 2003; 33(3):514-21. PubMed ID: 18238198 [TBL] [Abstract][Full Text] [Related]
14. A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance. Ye C; Yung NC; Wang D IEEE Trans Syst Man Cybern B Cybern; 2003; 33(1):17-27. PubMed ID: 18238153 [TBL] [Abstract][Full Text] [Related]
15. Neuromuscular control of the point to point and oscillatory movements of a sagittal arm with the actor-critic reinforcement learning method. Golkhou V; Parnianpour M; Lucas C Comput Methods Biomech Biomed Engin; 2005 Apr; 8(2):103-13. PubMed ID: 16154874 [TBL] [Abstract][Full Text] [Related]
16. Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems. Vrabie D; Lewis F Neural Netw; 2009 Apr; 22(3):237-46. PubMed ID: 19362449 [TBL] [Abstract][Full Text] [Related]
17. Embedding fuzzy mechanisms and knowledge in box-type reinforcement learning controllers. Su SF; Hsieh SH IEEE Trans Syst Man Cybern B Cybern; 2002; 32(5):645-53. PubMed ID: 18244868 [TBL] [Abstract][Full Text] [Related]
18. Tuning of a neuro-fuzzy controller by genetic algorithm. Seng TL; Bin Khalid M; Yusof R IEEE Trans Syst Man Cybern B Cybern; 1999; 29(2):226-36. PubMed ID: 18252294 [TBL] [Abstract][Full Text] [Related]
19. Adaptive fuzzy neural network control design via a T-S fuzzy model for a robot manipulator including actuator dynamics. Wai RJ; Yang ZW IEEE Trans Syst Man Cybern B Cybern; 2008 Oct; 38(5):1326-46. PubMed ID: 18784015 [TBL] [Abstract][Full Text] [Related]
20. Fuzzy-rule emulated networks, based on reinforcement learning for nonlinear discrete-time controllers. Treesatayapun C ISA Trans; 2008 Oct; 47(4):362-73. PubMed ID: 18675416 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]