BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

88 related articles for article (PubMed ID: 18267734)

  • 1. Continuous-time temporal back-propagation with adaptable time delays.
    Day SP; Davenport MR
    IEEE Trans Neural Netw; 1993; 4(2):348-54. PubMed ID: 18267734
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Discrete-time backpropagation for training synaptic delay-based artificial neural networks.
    Duro RJ; Reyes JS
    IEEE Trans Neural Netw; 1999; 10(4):779-89. PubMed ID: 18252577
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks.
    Mostafa H; Pedroni B; Sheik S; Cauwenberghs G
    Front Neurosci; 2017; 11():496. PubMed ID: 28932180
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Back-propagation learning of infinite-dimensional dynamical systems.
    Tokuda I; Tokunaga R; Aihara K
    Neural Netw; 2003 Oct; 16(8):1179-93. PubMed ID: 13678621
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Equivalence of Equilibrium Propagation and Recurrent Backpropagation.
    Scellier B; Bengio Y
    Neural Comput; 2019 Feb; 31(2):312-329. PubMed ID: 30576611
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Weight perturbation: an optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks.
    Jabri M; Flower B
    IEEE Trans Neural Netw; 1992; 3(1):154-7. PubMed ID: 18276417
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reinforcement and backpropagation training for an optical neural network using self-lensing effects.
    Cruz-Cabrera AA; Yang M; Cui G; Behrman EC; Steck JE; Skinner SR
    IEEE Trans Neural Netw; 2000; 11(6):1450-7. PubMed ID: 18249868
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Symbolic representation of recurrent neural network dynamics.
    Huynh TQ; Reggia JA
    IEEE Trans Neural Netw Learn Syst; 2012 Oct; 23(10):1649-58. PubMed ID: 24808009
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ;Neural-gas' network for vector quantization and its application to time-series prediction.
    Martinetz TM; Berkovich SG; Schulten KJ
    IEEE Trans Neural Netw; 1993; 4(4):558-69. PubMed ID: 18267757
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Faster training using fusion of activation functions for feed forward neural networks.
    Asaduzzaman M; Shahjahan M; Murase K
    Int J Neural Syst; 2009 Dec; 19(6):437-48. PubMed ID: 20039466
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Resource-Allocating Network for Function Interpolation.
    Platt J
    Neural Comput; 1991; 3(2):213-225. PubMed ID: 31167310
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Application of resilient backpropagation neural network in predicting hydrophobic parameters of alkylbenzenes].
    Liu ED; Yang GL; Tian BJ; Li ZW; Chen Y
    Se Pu; 2002 May; 20(3):216-8. PubMed ID: 12541939
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new formulation for feedforward neural networks.
    Razavi S; Tolson BA
    IEEE Trans Neural Netw; 2011 Oct; 22(10):1588-98. PubMed ID: 21859600
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reduction of required precision bits for back-propagation applied to pattern recognition.
    Sakaue S; Kohda T; Yamamoto H; Maruno S; Shimeki Y
    IEEE Trans Neural Netw; 1993; 4(2):270-5. PubMed ID: 18267726
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of convolutional neural networks for visual recognition.
    Nebauer C
    IEEE Trans Neural Netw; 1998; 9(4):685-96. PubMed ID: 18252491
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Performance analysis of a pipelined backpropagation parallel algorithm.
    Petrowski A; Dreyfus G; Girault C
    IEEE Trans Neural Netw; 1993; 4(6):970-81. PubMed ID: 18276527
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Generalized neuron: feedforward and recurrent architectures.
    Kulkarni RV; Venayagamoorthy GK
    Neural Netw; 2009 Sep; 22(7):1011-7. PubMed ID: 19660907
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Local learning algorithm for optical neural networks.
    Qiao Y; Psaltis D
    Appl Opt; 1992 Jun; 31(17):3285-8. PubMed ID: 20725280
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm.
    Abid S; Fnaiech F; Najim M
    IEEE Trans Neural Netw; 2001; 12(2):424-30. PubMed ID: 18244397
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Architecture Optimization of a Non-Linear Autoregressive Neural Networks for Mackey-Glass Time Series Prediction Using Discrete Mycorrhiza Optimization Algorithm.
    Carreon-Ortiz H; Valdez F; Melin P; Castillo O
    Micromachines (Basel); 2023 Jan; 14(1):. PubMed ID: 36677210
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.