These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

88 related articles for article (PubMed ID: 8697240)

  • 1. A mathematical solution to a network designing problem.
    Takahashi Y
    J Comput Biol; 1996; 3(1):97-141. PubMed ID: 8697240
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An iterative method for training multilayer networks with threshold functions.
    Corwin EM; Logar AM; Oldham WB
    IEEE Trans Neural Netw; 1994; 5(3):507-8. PubMed ID: 18267820
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Parameter estimation in spiking neural networks: a reverse-engineering approach.
    Rostro-Gonzalez H; Cessac B; Vieville T
    J Neural Eng; 2012 Apr; 9(2):026024. PubMed ID: 22419215
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Neural network tomography: network replication from output surface geometry.
    Minnett RC; Smith AT; Lennon WC; Hecht-Nielsen R
    Neural Netw; 2011 Jun; 24(5):484-92. PubMed ID: 21377326
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of boundedness and convergence of online gradient method for two-layer feedforward neural networks.
    Lu Xu ; Jinshu Chen ; Defeng Huang ; Jianhua Lu ; Licai Fang
    IEEE Trans Neural Netw Learn Syst; 2013 Aug; 24(8):1327-38. PubMed ID: 24808571
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
    Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG
    Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Polynomial harmonic GMDH learning networks for time series modeling.
    Nikolaev NY; Iba H
    Neural Netw; 2003 Dec; 16(10):1527-40. PubMed ID: 14622880
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reducing the Spectral Radius of a Torus Network by Link Removal.
    Yang X; Li P; Yang LX; Wu Y
    PLoS One; 2016; 11(5):e0155580. PubMed ID: 27171372
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Meta-learning approach to neural network optimization.
    Kordík P; Koutník J; Drchal J; Kovárík O; Cepek M; Snorek M
    Neural Netw; 2010 May; 23(4):568-82. PubMed ID: 20227243
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The generalized quadratic knapsack problem. A neuronal network approach.
    Talaván PM; Yáñez J
    Neural Netw; 2006 May; 19(4):416-28. PubMed ID: 16488117
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cellular computational networks--a scalable architecture for learning the dynamics of large networked systems.
    Luitel B; Venayagamoorthy GK
    Neural Netw; 2014 Feb; 50():120-3. PubMed ID: 24300549
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Towards a mathematical framework to inform neural network modelling via polynomial regression.
    Morala P; Cifuentes JA; Lillo RE; Ucar I
    Neural Netw; 2021 Oct; 142():57-72. PubMed ID: 33984736
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Metamodeling and the Critic-based approach to multi-level optimization.
    Werbos L; Kozma R; Silva-Lugo R; Pazienza GE; Werbos PJ
    Neural Netw; 2012 Aug; 32():179-85. PubMed ID: 22386785
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bidirectional extreme learning machine for regression problem and its learning effectiveness.
    Yang Y; Wang Y; Yuan X
    IEEE Trans Neural Netw Learn Syst; 2012 Sep; 23(9):1498-505. PubMed ID: 24807932
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle.
    Ehret A; Hochstuhl D; Gianola D; Thaller G
    Genet Sel Evol; 2015 Mar; 47(1):22. PubMed ID: 25886037
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Global convergence of online BP training with dynamic learning rate.
    Zhang R; Xu ZB; Huang GB; Wang D
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):330-41. PubMed ID: 24808511
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Training neural networks with heterogeneous data.
    Drakopoulos JA; Abdulkader A
    Neural Netw; 2005; 18(5-6):595-601. PubMed ID: 16095874
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ordinal neural networks without iterative tuning.
    Fernández-Navarro F; Riccardi A; Carloni S
    IEEE Trans Neural Netw Learn Syst; 2014 Nov; 25(11):2075-85. PubMed ID: 25330430
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.