228 related articles for article (PubMed ID: 15112370)
1. Nonlinear system modelling via optimal design of neural trees.
Chen Y; Yang B; Dong J
Int J Neural Syst; 2004 Apr; 14(2):125-37. PubMed ID: 15112370
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Hierarchical genetic algorithm for near optimal feedforward neural network design.
Yen G; Lu H
Int J Neural Syst; 2002 Feb; 12(1):31-43. PubMed ID: 11852443
[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. 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]
6. 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]
7. Principal curve algorithms for partitioning high-dimensional data spaces.
Zhang J; Wang X; Kruger U; Wang FY
IEEE Trans Neural Netw; 2011 Mar; 22(3):367-80. PubMed ID: 21193373
[TBL] [Abstract][Full Text] [Related]
8. Short-term prediction of chaotic time series by using RBF network with regression weights.
Rojas I; Gonzalez J; Cañas A; Diaz AF; Rojas FJ; Rodriguez M
Int J Neural Syst; 2000 Oct; 10(5):353-64. PubMed ID: 11195935
[TBL] [Abstract][Full Text] [Related]
9. Artificial neural network learning of nonstationary behavior in time series.
Széliga MI; Verdes PF; Granitto PM; Ceccatto HA
Int J Neural Syst; 2003 Apr; 13(2):103-9. PubMed ID: 12923923
[TBL] [Abstract][Full Text] [Related]
10. Efficient self-organizing multilayer neural network for nonlinear system modeling.
Han HG; Wang LD; Qiao JF
Neural Netw; 2013 Jul; 43():22-32. PubMed ID: 23500497
[TBL] [Abstract][Full Text] [Related]
11. Evolutionary product unit based neural networks for regression.
Martínez-Estudillo A; Martínez-Estudillo F; Hervás-Martínez C; García-Pedrajas N
Neural Netw; 2006 May; 19(4):477-86. PubMed ID: 16481148
[TBL] [Abstract][Full Text] [Related]
12. A novel efficient learning algorithm for self-generating fuzzy neural network with applications.
Liu F; Er MJ
Int J Neural Syst; 2012 Feb; 22(1):21-35. PubMed ID: 22262522
[TBL] [Abstract][Full Text] [Related]
13. Multi-objective evolutionary algorithms for fuzzy classification in survival prediction.
Jiménez F; Sánchez G; Juárez JM
Artif Intell Med; 2014 Mar; 60(3):197-219. PubMed ID: 24525210
[TBL] [Abstract][Full Text] [Related]
14. On the structure and initial parameter identification of Gaussian RBF networks.
Bhatt RB; Gopal M
Int J Neural Syst; 2004 Dec; 14(6):373-80. PubMed ID: 15714604
[TBL] [Abstract][Full Text] [Related]
15. An online self-organizing scheme for Parsimonious and Accurate Fuzzy Neural Networks.
Wang N; Er MJ; Meng XY; Li X
Int J Neural Syst; 2010 Oct; 20(5):389-403. PubMed ID: 20945518
[TBL] [Abstract][Full Text] [Related]
16. Autonomous Growing Neural Gas for applications with time constraint: optimal parameter estimation.
García-Rodríguez J; Angelopoulou A; García-Chamizo JM; Psarrou A; Orts Escolano S; Morell Giménez V
Neural Netw; 2012 Aug; 32():196-208. PubMed ID: 22386599
[TBL] [Abstract][Full Text] [Related]
17. Automated nonlinear system modeling with multiple fuzzy neural networks and kernel smoothing.
Yu W; Li X
Int J Neural Syst; 2010 Oct; 20(5):429-35. PubMed ID: 20945521
[TBL] [Abstract][Full Text] [Related]
18. Modeling of batch processes using explicitly time-dependent artificial neural networks.
Ganesh B; Kumar VV; Rani KY
IEEE Trans Neural Netw Learn Syst; 2014 May; 25(5):970-9. PubMed ID: 24808042
[TBL] [Abstract][Full Text] [Related]
19. Multi-sensor optimal H∞ fusion filters for delayed nonlinear intelligent systems based on a unified model.
Liu M; Zhang S; Jin Y
Neural Netw; 2011 Apr; 24(3):280-90. PubMed ID: 21167678
[TBL] [Abstract][Full Text] [Related]
20. A delayed neural network method for solving convex optimization problems.
Yang Y; Cao J
Int J Neural Syst; 2006 Aug; 16(4):295-303. PubMed ID: 16972317
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
