475 related articles for article (PubMed ID: 18269943)
1. 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]
2. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
Huynh HT; Won Y; Kim JJ
Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
[TBL] [Abstract][Full Text] [Related]
3. Error minimized extreme learning machine with growth of hidden nodes and incremental learning.
Feng G; Huang GB; Lin Q; Gay R
IEEE Trans Neural Netw; 2009 Aug; 20(8):1352-7. PubMed ID: 19596632
[TBL] [Abstract][Full Text] [Related]
4. Single-hidden-layer feed-forward quantum neural network based on Grover learning.
Liu CY; Chen C; Chang CT; Shih LM
Neural Netw; 2013 Sep; 45():144-50. PubMed ID: 23545155
[TBL] [Abstract][Full Text] [Related]
5. Novel maximum-margin training algorithms for supervised neural networks.
Ludwig O; Nunes U
IEEE Trans Neural Netw; 2010 Jun; 21(6):972-84. PubMed ID: 20409990
[TBL] [Abstract][Full Text] [Related]
6. A dynamical model for the analysis and acceleration of learning in feedforward networks.
Ampazis N; Perantonis SJ; Taylor JG
Neural Netw; 2001 Oct; 14(8):1075-88. PubMed ID: 11681752
[TBL] [Abstract][Full Text] [Related]
7. Intelligent adaptive nonlinear flight control for a high performance aircraft with neural networks.
Savran A; Tasaltin R; Becerikli Y
ISA Trans; 2006 Apr; 45(2):225-47. PubMed ID: 16649568
[TBL] [Abstract][Full Text] [Related]
8. Universal approximation of extreme learning machine with adaptive growth of hidden nodes.
Zhang R; Lan Y; Huang GB; Xu ZB
IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):365-71. PubMed ID: 24808516
[TBL] [Abstract][Full Text] [Related]
9. Efficient calculation of the Gauss-Newton approximation of the Hessian matrix in neural networks.
Fairbank M; Alonso E
Neural Comput; 2012 Mar; 24(3):607-10. PubMed ID: 22168563
[TBL] [Abstract][Full Text] [Related]
10. A new discrete-continuous algorithm for radial basis function networks construction.
Zhang L; Li K; He H; Irwin GW
IEEE Trans Neural Netw Learn Syst; 2013 Nov; 24(11):1785-98. PubMed ID: 24808612
[TBL] [Abstract][Full Text] [Related]
11. Artificial neural network based soft estimator for estimation of transducer static nonlinearity.
Singh AP; Kamal TS; Kumar S
Int J Neural Syst; 2004 Aug; 14(4):237-46. PubMed ID: 15372701
[TBL] [Abstract][Full Text] [Related]
12. Improved computation for Levenberg-Marquardt training.
Wilamowski BM; Yu H
IEEE Trans Neural Netw; 2010 Jun; 21(6):930-7. PubMed ID: 20409991
[TBL] [Abstract][Full Text] [Related]
13. Multifeedback-layer neural network.
Savran A
IEEE Trans Neural Netw; 2007 Mar; 18(2):373-84. PubMed ID: 17385626
[TBL] [Abstract][Full Text] [Related]
14. A homomorphic neural network for modeling and prediction.
Pedzisz M; Mandic DP
Neural Comput; 2008 Apr; 20(4):1042-64. PubMed ID: 18085992
[TBL] [Abstract][Full Text] [Related]
15. On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning.
Mizutani E; Demmel JW
Neural Netw; 2003; 16(5-6):745-53. PubMed ID: 12850030
[TBL] [Abstract][Full Text] [Related]
16. Adaptive computation algorithm for RBF neural network.
Han HG; Qiao JF
IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):342-7. PubMed ID: 24808512
[TBL] [Abstract][Full Text] [Related]
17. Training two-layered feedforward networks with variable projection method.
Kim CT; Lee JJ
IEEE Trans Neural Netw; 2008 Feb; 19(2):371-5. PubMed ID: 18269969
[TBL] [Abstract][Full Text] [Related]
18. Ordinal neural networks without iterative tuning.
Fernández-Navarro F; Riccardi A; Carloni S
IEEE Trans Neural Netw Learn Syst; 2014 Nov; 25(11):2075-85. PubMed ID: 25330430
[TBL] [Abstract][Full Text] [Related]
19. Constructive approximation to multivariate function by decay RBF neural network.
Hou M; Han X
IEEE Trans Neural Netw; 2010 Sep; 21(9):1517-23. PubMed ID: 20693108
[TBL] [Abstract][Full Text] [Related]
20. Universal approximation using incremental constructive feedforward networks with random hidden nodes.
Huang GB; Chen L; Siew CK
IEEE Trans Neural Netw; 2006 Jul; 17(4):879-892. PubMed ID: 16856652
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
