BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

480 related articles for article (PubMed ID: 17385626)

  • 1. Multifeedback-layer neural network.
    Savran A
    IEEE Trans Neural Netw; 2007 Mar; 18(2):373-84. PubMed ID: 17385626
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Neural network learning with global heuristic search.
    Jordanov I; Georgieva A
    IEEE Trans Neural Netw; 2007 May; 18(3):937-42. PubMed ID: 17526362
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Parameter incremental learning algorithm for neural networks.
    Wan S; Banta LE
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1424-38. PubMed ID: 17131658
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. New chaotic PSO-based neural network predictive control for nonlinear process.
    Song Y; Chen Z; Yuan Z
    IEEE Trans Neural Netw; 2007 Mar; 18(2):595-600. PubMed ID: 17385644
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Discrete state space modeling and control of nonlinear unknown systems.
    Savran A
    ISA Trans; 2013 Nov; 52(6):795-806. PubMed ID: 23978661
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On the weight convergence of Elman networks.
    Song Q
    IEEE Trans Neural Netw; 2010 Mar; 21(3):463-80. PubMed ID: 20129857
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.
    Fu X; Li S; Fairbank M; Wunsch DC; Alonso E
    IEEE Trans Neural Netw Learn Syst; 2015 Sep; 26(9):1900-12. PubMed ID: 25330496
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An approximate internal model-based neural control for unknown nonlinear discrete processes.
    Li HX; Deng H
    IEEE Trans Neural Netw; 2006 May; 17(3):659-70. PubMed ID: 16722170
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An optimization methodology for neural network weights and architectures.
    Ludermir TB; Yamazaki A; Zanchettin C
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1452-9. PubMed ID: 17131660
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multiobjective hybrid optimization and training of recurrent neural networks.
    Delgado M; Cuéllar MP; Pegalajar MC
    IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):381-403. PubMed ID: 18348922
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Robust output feedback tracking control for time-delay nonlinear systems using neural network.
    Hua C; Guan X; Shi P
    IEEE Trans Neural Netw; 2007 Mar; 18(2):495-505. PubMed ID: 17385634
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Recurrent neural networks training with stable bounding ellipsoid algorithm.
    Yu W; de Jesús Rubio J
    IEEE Trans Neural Netw; 2009 Jun; 20(6):983-91. PubMed ID: 19447727
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Several extensions in methods for adaptive output feedback control.
    Kim N; Calise AJ
    IEEE Trans Neural Netw; 2007 Mar; 18(2):482-94. PubMed ID: 17385633
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Partially connected feedforward neural networks structured by input types.
    Kang S; Isik C
    IEEE Trans Neural Netw; 2005 Jan; 16(1):175-84. PubMed ID: 15732397
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Robust adaptive gradient-descent training algorithm for recurrent neural networks in discrete time domain.
    Song Q; Wu Y; Soh YC
    IEEE Trans Neural Netw; 2008 Nov; 19(11):1841-53. PubMed ID: 18990640
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improved conditions for global exponential stability of recurrent neural networks with time-varying delays.
    Zeng Z; Wang J
    IEEE Trans Neural Netw; 2006 May; 17(3):623-35. PubMed ID: 16722168
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Stability and Hopf bifurcation in a simplified BAM neural network with two time delays.
    Cao J; Xiao M
    IEEE Trans Neural Netw; 2007 Mar; 18(2):416-30. PubMed ID: 17385629
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating the number of hidden neurons in a feedforward network using the singular value decomposition.
    Teoh EJ; Tan KC; Xiang C
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1623-9. PubMed ID: 17131674
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A new adaptive backpropagation algorithm based on Lyapunov stability theory for neural networks.
    Man Z; Wu HR; Liu S; Yu X
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1580-91. PubMed ID: 17131670
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.