BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 8293230)

  • 1. The ClusNet algorithm and time series prediction.
    Hsu W; Hsu LS; Tenorio MF
    Int J Neural Syst; 1993 Sep; 4(3):247-55. PubMed ID: 8293230
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A sequential learning scheme for function approximation using minimal radial basis function neural networks.
    Lu Y; Sundararajan N; Saratchandran P
    Neural Comput; 1997 Feb; 9(2):461-78. PubMed ID: 9117909
    [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. Convergence analysis of cascade error projection--an efficient learning algorithm for hardware implementation.
    Duong TA; Stubberud AR
    Int J Neural Syst; 2000 Jun; 10(3):199-210. PubMed ID: 11011792
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Learning chaotic attractors by neural networks.
    Bakker R; Schouten JC; Giles CL; Takens F; van den Bleek CM
    Neural Comput; 2000 Oct; 12(10):2355-83. PubMed ID: 11032038
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. An annealed chaotic maximum neural network for bipartite subgraph problem.
    Wang J; Tang Z; Wang R
    Int J Neural Syst; 2004 Apr; 14(2):107-16. PubMed ID: 15112368
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An efficient self-organizing RBF neural network for water quality prediction.
    Han HG; Chen QL; Qiao JF
    Neural Netw; 2011 Sep; 24(7):717-25. PubMed ID: 21612889
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hierarchically clustered adaptive quantization CMAC and its learning convergence.
    Teddy SD; Lai EM; Quek C
    IEEE Trans Neural Netw; 2007 Nov; 18(6):1658-82. PubMed ID: 18051184
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series prediction.
    Xue F; Li Q; Li X
    PLoS One; 2017; 12(7):e0181816. PubMed ID: 28759581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Recurrent Neural Network for Computing the Drazin Inverse.
    Stanimirović PS; Zivković IS; Wei Y
    IEEE Trans Neural Netw Learn Syst; 2015 Nov; 26(11):2830-43. PubMed ID: 25706892
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-step-ahead prediction using dynamic recurrent neural networks.
    Parlos AG; Rais OT; Atiya AF
    Neural Netw; 2000 Sep; 13(7):765-86. PubMed ID: 11152208
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Synaptic dynamics: linear model and adaptation algorithm.
    Yousefi A; Dibazar AA; Berger TW
    Neural Netw; 2014 Aug; 56():49-68. PubMed ID: 24867390
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Low-complexity nonlinear adaptive filter based on a pipelined bilinear recurrent neural network.
    Zhao H; Zeng X; He Z
    IEEE Trans Neural Netw; 2011 Sep; 22(9):1494-507. PubMed ID: 21803688
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On adaptive learning rate that guarantees convergence in feedforward networks.
    Behera L; Kumar S; Patnaik A
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1116-25. PubMed ID: 17001974
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Chaotic time series prediction based on a novel robust echo state network.
    Li D; Han M; Wang J
    IEEE Trans Neural Netw Learn Syst; 2012 May; 23(5):787-99. PubMed ID: 24806127
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Impact of Noise on a Dynamical System: Prediction and Uncertainties from a Swarm-Optimized Neural Network.
    López-Caraballo CH; Lazzús JA; Salfate I; Rojas P; Rivera M; Palma-Chilla L
    Comput Intell Neurosci; 2015; 2015():145874. PubMed ID: 26351449
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Finite time convergent learning law for continuous neural networks.
    Chairez I
    Neural Netw; 2014 Feb; 50():175-82. PubMed ID: 24321615
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.