BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 18244368)

  • 21. [Spectral quantitative analysis by nonlinear partial least squares based on neural network internal model for flue gas of thermal power plant].
    Cao H; Li YJ; Zhou Y; Wang YX
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Nov; 34(11):3066-70. PubMed ID: 25752059
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation.
    Vuković N; Miljković Z
    Neural Netw; 2013 Oct; 46():210-26. PubMed ID: 23811384
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Self-organizing radial basis function network for real-time approximation of continuous-time dynamical systems.
    Lian J; Lee Y; Sudhoff SD; Zak SH
    IEEE Trans Neural Netw; 2008 Mar; 19(3):460-74. PubMed ID: 18334365
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network.
    Han HG; Zhang L; Hou Y; Qiao JF
    IEEE Trans Neural Netw Learn Syst; 2016 Feb; 27(2):402-15. PubMed ID: 26336152
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems.
    Elanayar V T SS; Shin YC
    IEEE Trans Neural Netw; 1994; 5(4):594-603. PubMed ID: 18267832
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Data classification based on fractional order gradient descent with momentum for RBF neural network.
    Xue H; Shao Z; Sun H
    Network; 2020; 31(1-4):166-185. PubMed ID: 33283569
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Kernel orthonormalization in radial basis function neural networks.
    Kaminski W; Strumillo P
    IEEE Trans Neural Netw; 1997; 8(5):1177-83. PubMed ID: 18255719
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Robust Blind Learning Algorithm for Nonlinear Equalization Using Input Decision Information.
    Xu L; Huang DD; Guo YJ
    IEEE Trans Neural Netw Learn Syst; 2015 Dec; 26(12):3009-20. PubMed ID: 25706894
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A neural-network learning theory and a polynomial time RBF algorithm.
    Roy A; Govil S; Miranda R
    IEEE Trans Neural Netw; 1997; 8(6):1301-13. PubMed ID: 18255732
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Temporally local recurrent radial basis function network for modeling and adaptive control of nonlinear systems.
    Kumar R; Srivastava S; Gupta JRP; Mohindru A
    ISA Trans; 2019 Apr; 87():88-115. PubMed ID: 30527934
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Dual-orthogonal radial basis function networks for nonlinear time series prediction.
    Hong X; Billings SA
    Neural Netw; 1998 Apr; 11(3):479-493. PubMed ID: 12662824
    [TBL] [Abstract][Full Text] [Related]  

  • 34. An ART-based construction of RBF networks.
    Lee SJ; Hou CL
    IEEE Trans Neural Netw; 2002; 13(6):1308-21. PubMed ID: 18244529
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. 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]  

  • 37. Numerical solution of elliptic partial differential equation using radial basis function neural networks.
    Jianyu L; Siwei L; Yingjian Q; Yaping H
    Neural Netw; 2003; 16(5-6):729-34. PubMed ID: 12850028
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Observer-Based Adaptive Neural Network Control for Nonlinear Systems in Nonstrict-Feedback Form.
    Chen B; Zhang H; Lin C
    IEEE Trans Neural Netw Learn Syst; 2016 Jan; 27(1):89-98. PubMed ID: 25823044
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks.
    Chen T; Chen H
    IEEE Trans Neural Netw; 1995; 6(4):904-10. PubMed ID: 18263378
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Online modeling with tunable RBF network.
    Chen H; Gong Y; Hong X
    IEEE Trans Cybern; 2013 Jun; 43(3):935-47. PubMed ID: 23096075
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.