73 related articles for article (PubMed ID: 18252374)
1. Universal learning network and its application to robust control.
Hirasawa K; Murata J; Hu J; Jin C
IEEE Trans Syst Man Cybern B Cybern; 2000; 30(3):419-30. PubMed ID: 18252374
[TBL] [Abstract][Full Text] [Related]
2. Universal learning network and its application to chaos control.
Hirasawa K; Wang X; Murata J; Hu J; Jin C
Neural Netw; 2000 Mar; 13(2):239-53. PubMed ID: 10935763
[TBL] [Abstract][Full Text] [Related]
3. A new control method of nonlinear systems based on impulse responses of universal learning networks.
Hirasawa K; Hu J; Murata J; Jin C
IEEE Trans Syst Man Cybern B Cybern; 2001; 31(3):362-72. PubMed ID: 18244799
[TBL] [Abstract][Full Text] [Related]
4. Improvement of generalization ability for identifying dynamical systems by using universal learning networks.
Hirasawa K; Kim S; Hu J; Murata J; Han M; Jin C
Neural Netw; 2001 Dec; 14(10):1389-404. PubMed ID: 11771719
[TBL] [Abstract][Full Text] [Related]
5. Propagation and control of stochastic signals through universal learning networks.
Hirasawa K; Mabu S; Hu J
Neural Netw; 2006 May; 19(4):487-99. PubMed ID: 16423502
[TBL] [Abstract][Full Text] [Related]
6. A novel nonlinear adaptive filter using a pipelined second-order Volterra recurrent neural network.
Zhao H; Zhang J
Neural Netw; 2009 Dec; 22(10):1471-83. PubMed ID: 19523787
[TBL] [Abstract][Full Text] [Related]
7. Function approximation using fuzzy neural networks with robust learning algorithm.
Wang WY; Lee TT; Liu CL; Wang CH
IEEE Trans Syst Man Cybern B Cybern; 1997; 27(4):740-7. PubMed ID: 18255916
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Back-propagation learning of infinite-dimensional dynamical systems.
Tokuda I; Tokunaga R; Aihara K
Neural Netw; 2003 Oct; 16(8):1179-93. PubMed ID: 13678621
[TBL] [Abstract][Full Text] [Related]
11. Learning Petri network and its application to nonlinear system control.
Hirasawa K; Ohbayashi M; Sakai S; Hu J
IEEE Trans Syst Man Cybern B Cybern; 1998; 28(6):781-9. PubMed ID: 18255997
[TBL] [Abstract][Full Text] [Related]
12. A complex-valued RTRL algorithm for recurrent neural networks.
Goh SL; Mandic DP
Neural Comput; 2004 Dec; 16(12):2699-713. PubMed ID: 15516278
[TBL] [Abstract][Full Text] [Related]
13. Robust adaptive controller design for a class of uncertain nonlinear systems using online T-S fuzzy-neural modeling approach.
Chien YH; Wang WY; Leu YG; Lee TT
IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):542-52. PubMed ID: 20858584
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Dynamic optimal learning rates of a certain class of fuzzy neural networks and its applications with genetic algorithm.
Wang CH; Liu HL; Lin CT
IEEE Trans Syst Man Cybern B Cybern; 2001; 31(3):467-75. PubMed ID: 18244813
[TBL] [Abstract][Full Text] [Related]
16. Intelligent optimal control with dynamic neural networks.
Becerikli Y; Konar AF; Samad T
Neural Netw; 2003 Mar; 16(2):251-9. PubMed ID: 12628610
[TBL] [Abstract][Full Text] [Related]
17. Adaptive NN backstepping output-feedback control for stochastic nonlinear strict-feedback systems with time-varying delays.
Chen W; Jiao L; Li J; Li R
IEEE Trans Syst Man Cybern B Cybern; 2010 Jun; 40(3):939-50. PubMed ID: 19933016
[TBL] [Abstract][Full Text] [Related]
18. [Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].
Pezard L; Nandrino JL
Encephale; 2001; 27(3):260-8. PubMed ID: 11488256
[TBL] [Abstract][Full Text] [Related]
19. Robustness design of fuzzy control for nonlinear multiple time-delay large-scale systems via neural-network-based approach.
Hsiao FH; Xu SD; Lin CY; Tsai ZR
IEEE Trans Syst Man Cybern B Cybern; 2008 Feb; 38(1):244-51. PubMed ID: 18270095
[TBL] [Abstract][Full Text] [Related]
20. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
Auer P; Burgsteiner H; Maass W
Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
