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 *

166 related articles for article (PubMed ID: 18252452)

  • 1. Morphological associative memories.
    Ritter GX; Sussner P; Diza-de-Leon JL
    IEEE Trans Neural Netw; 1998; 9(2):281-93. PubMed ID: 18252452
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Morphological bidirectional associative memories.
    Ritter GX; Diaz-de-Leon JL; Sussner P
    Neural Netw; 1999 Jul; 12(6):851-867. PubMed ID: 12662661
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Associative morphological memories based on variations of the kernel and dual kernel methods.
    Sussner P
    Neural Netw; 2003; 16(5-6):625-32. PubMed ID: 12850016
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Learning and Forgetting in Generalized Brain-state-in-a-box (BSB) Neural Associative Memories.
    Hui S; Lillo WE; Zak SH
    Neural Netw; 1996 Jul; 9(5):845-854. PubMed ID: 12662567
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Gray-scale morphological associative memories.
    Sussner P; Valle ME
    IEEE Trans Neural Netw; 2006 May; 17(3):559-70. PubMed ID: 16722162
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Design and analysis of maximum Hopfield networks.
    Galán-Marín G; Muñoz-Pérez J
    IEEE Trans Neural Netw; 2001; 12(2):329-39. PubMed ID: 18244387
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Extreme learning machine for a new hybrid morphological/linear perceptron.
    Sussner P; Campiotti I
    Neural Netw; 2020 Mar; 123():288-298. PubMed ID: 31891839
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A broad class of discrete-time hypercomplex-valued Hopfield neural networks.
    de Castro FZ; Valle ME
    Neural Netw; 2020 Feb; 122():54-67. PubMed ID: 31675627
    [TBL] [Abstract][Full Text] [Related]  

  • 9. On the complexity of computing and learning with multiplicative neural networks.
    Schmitt M
    Neural Comput; 2002 Feb; 14(2):241-301. PubMed ID: 11802913
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Beyond the Maximum Storage Capacity Limit in Hopfield Recurrent Neural Networks.
    Gosti G; Folli V; Leonetti M; Ruocco G
    Entropy (Basel); 2019 Jul; 21(8):. PubMed ID: 33267440
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Neural networks with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs.
    Del-Moral-Hernandez E
    Neural Netw; 2003; 16(5-6):675-82. PubMed ID: 12850022
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Memory dynamics in attractor networks with saliency weights.
    Tang H; Li H; Yan R
    Neural Comput; 2010 Jul; 22(7):1899-926. PubMed ID: 20235821
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning.
    Valle ME; Sussner P
    Neural Netw; 2011 Jan; 24(1):75-90. PubMed ID: 20870391
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Lattice algebra approach to single-neuron computation.
    Ritter GX; Urcid G
    IEEE Trans Neural Netw; 2003; 14(2):282-95. PubMed ID: 18238012
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Associative memory design using overlapping decomposition and generalized brain-state-in-a-box neural networks.
    Oh C; Zak SH
    Int J Neural Syst; 2003 Jun; 13(3):139-53. PubMed ID: 12884448
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Learning associative memories by error backpropagation.
    Zheng P; Zhang J; Tang W
    IEEE Trans Neural Netw; 2011 Mar; 22(3):347-55. PubMed ID: 21189234
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficient Associative Computation with Discrete Synapses.
    Knoblauch A
    Neural Comput; 2016 Jan; 28(1):118-86. PubMed ID: 26599711
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Network capacity analysis for latent attractor computation.
    Doboli S; Minai AA
    Network; 2003 May; 14(2):273-302. PubMed ID: 12790185
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The capacity of associative memories with malfunctioning neurons.
    Shirazi MN; Maekawa S
    IEEE Trans Neural Netw; 1993; 4(4):628-35. PubMed ID: 18267763
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].
    Pezard L; Nandrino JL
    Encephale; 2001; 27(3):260-8. PubMed ID: 11488256
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.