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Journal Abstract Search
460 related items for PubMed ID: 19068436
1. A new RBF neural network with boundary value constraints. Hong X, Chen S. IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):298-303. PubMed ID: 19068436 [Abstract] [Full Text] [Related]
3. Nondestructive quantitative analysis of erythromycin ethylsuccinate powder drug via short-wave near-infrared spectroscopy combined with radial basis function neural networks. Qu N, Li X, Dou Y, Mi H, Guo Y, Ren Y. Eur J Pharm Sci; 2007 Jul; 31(3-4):156-64. PubMed ID: 17449230 [Abstract] [Full Text] [Related]
4. Sensitivity analysis applied to the construction of radial basis function networks. Shi D, Yeung DS, Gao J. Neural Netw; 2005 Sep; 18(7):951-7. PubMed ID: 15939573 [Abstract] [Full Text] [Related]
5. A cooperative recurrent neural network for solving L(1) estimation problems with general linear constraints. Xia Y, Kamel MS. Neural Comput; 2008 Mar; 20(3):844-72. PubMed ID: 18370841 [Abstract] [Full Text] [Related]
7. Intelligent initialization of resource allocating RBF networks. Wallace M, Tsapatsoulis N, Kollias S. Neural Netw; 2005 Mar; 18(2):117-22. PubMed ID: 15795110 [Abstract] [Full Text] [Related]
8. A new algorithm for online structure and parameter adaptation of RBF networks. Alexandridis A, Sarimveis H, Bafas G. Neural Netw; 2003 Sep; 16(7):1003-17. PubMed ID: 14692635 [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 [Abstract] [Full Text] [Related]
12. Metacognitive learning in a fully complex-valued radial basis function neural network. Savitha R, Suresh S, Sundararajan N. Neural Comput; 2012 May; 24(5):1297-328. PubMed ID: 22168554 [Abstract] [Full Text] [Related]
13. Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: a case study on renal function evaluation. Song Q, Kasabov N, Ma T, Marshall MR. Artif Intell Med; 2006 Mar; 36(3):235-44. PubMed ID: 16213694 [Abstract] [Full Text] [Related]
14. Robust growing neural gas algorithm with application in cluster analysis. Qin AK, Suganthan PN. Neural Netw; 2004 Mar; 17(8-9):1135-48. PubMed ID: 15555857 [Abstract] [Full Text] [Related]
15. Significant vector learning to construct sparse kernel regression models. Gao J, Shi D, Liu X. Neural Netw; 2007 Sep; 20(7):791-8. PubMed ID: 17604953 [Abstract] [Full Text] [Related]
16. 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 [Abstract] [Full Text] [Related]
17. Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming. Chen S, Wolfgang A, Harris CJ, Hanzo L. Neural Netw; 2008 Dec; 21(2-3):358-67. PubMed ID: 18207699 [Abstract] [Full Text] [Related]
18. A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept. Izadinia H, Sadeghi F, Ebadzadeh MM. Neural Netw; 2009 Dec; 22(5-6):633-41. PubMed ID: 19608381 [Abstract] [Full Text] [Related]
19. [GSH fermentation process modeling using entropy-criterion based RBF neural network model]. Tan Z, Wang S, Deng Z, Du G. Sheng Wu Gong Cheng Xue Bao; 2008 May; 24(5):829-36. PubMed ID: 18724704 [Abstract] [Full Text] [Related]
20. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation. Huang GB, Saratchandran P, Sundararajan N. IEEE Trans Neural Netw; 2005 Jan; 16(1):57-67. PubMed ID: 15732389 [Abstract] [Full Text] [Related] Page: [Next] [New Search]