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 *

298 related articles for article (PubMed ID: 25843127)

  • 41. Evolutionary product unit based neural networks for regression.
    Martínez-Estudillo A; Martínez-Estudillo F; Hervás-Martínez C; García-Pedrajas N
    Neural Netw; 2006 May; 19(4):477-86. PubMed ID: 16481148
    [TBL] [Abstract][Full Text] [Related]  

  • 42. An enhanced hypercube-based encoding for evolving the placement, density, and connectivity of neurons.
    Risi S; Stanley KO
    Artif Life; 2012; 18(4):331-63. PubMed ID: 22938563
    [TBL] [Abstract][Full Text] [Related]  

  • 43. An H(∞) control approach to robust learning of feedforward neural networks.
    Jing X
    Neural Netw; 2011 Sep; 24(7):759-66. PubMed ID: 21458228
    [TBL] [Abstract][Full Text] [Related]  

  • 44. COVNET: a cooperative coevolutionary model for evolving artificial neural networks.
    Garcia-Pedrajas N; Hervas-Martinez C; Munoz-Perez J
    IEEE Trans Neural Netw; 2003; 14(3):575-96. PubMed ID: 18238040
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Neural-fitted TD-leaf learning for playing Othello with structured neural networks.
    van den Dries S; Wiering MA
    IEEE Trans Neural Netw Learn Syst; 2012 Nov; 23(11):1701-13. PubMed ID: 24808066
    [TBL] [Abstract][Full Text] [Related]  

  • 46. The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm.
    Su F; Yuan P; Wang Y; Zhang C
    Protein Cell; 2016 Oct; 7(10):735-748. PubMed ID: 27502185
    [TBL] [Abstract][Full Text] [Related]  

  • 47. A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks.
    Bas E; Egrioglu E; Yolcu U; Chen MY
    Big Data; 2023 Apr; 11(2):105-116. PubMed ID: 36315168
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Improving supervised learning by adapting the problem to the learner.
    Menke J; Martinez T
    Int J Neural Syst; 2009 Feb; 19(1):1-9. PubMed ID: 19263499
    [TBL] [Abstract][Full Text] [Related]  

  • 49. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
    Auer P; Burgsteiner H; Maass W
    Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A forecast-based STDP rule suitable for neuromorphic implementation.
    Davies S; Galluppi F; Rast AD; Furber SB
    Neural Netw; 2012 Aug; 32():3-14. PubMed ID: 22386500
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Efficient self-organizing multilayer neural network for nonlinear system modeling.
    Han HG; Wang LD; Qiao JF
    Neural Netw; 2013 Jul; 43():22-32. PubMed ID: 23500497
    [TBL] [Abstract][Full Text] [Related]  

  • 52. A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection.
    Ghosh-Dastidar S; Adeli H
    Neural Netw; 2009 Dec; 22(10):1419-31. PubMed ID: 19447005
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron.
    Costalago Meruelo A; Simpson DM; Veres SM; Newland PL
    Neural Netw; 2016 Mar; 75():56-65. PubMed ID: 26717237
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Probability density function learning by unsupervised neurons.
    Fiori S
    Int J Neural Syst; 2001 Oct; 11(5):399-417. PubMed ID: 11709808
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Machine learning on-a-chip: a high-performance low-power reusable neuron architecture for artificial neural networks in ECG classifications.
    Sun Y; Cheng AC
    Comput Biol Med; 2012 Jul; 42(7):751-7. PubMed ID: 22595230
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Evolutionary fuzzy ARTMAP neural networks for classification of semiconductor defects.
    Tan SC; Watada J; Ibrahim Z; Khalid M
    IEEE Trans Neural Netw Learn Syst; 2015 May; 26(5):933-50. PubMed ID: 25014967
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model.
    Liu Y; Jing W; Xu L
    Comput Intell Neurosci; 2016; 2016():2842780. PubMed ID: 27217823
    [TBL] [Abstract][Full Text] [Related]  

  • 58. A novel neural-inspired learning algorithm with application to clinical risk prediction.
    Tay D; Poh CL; Kitney RI
    J Biomed Inform; 2015 Apr; 54():305-14. PubMed ID: 25576352
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Template learning of cellular neural network using genetic programming.
    Radwan E; Tazaki E
    Int J Neural Syst; 2004 Aug; 14(4):247-56. PubMed ID: 15372702
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Backpropagation algorithm adaptation parameters using learning automata.
    Beigy H; Meybodi MR
    Int J Neural Syst; 2001 Jun; 11(3):219-28. PubMed ID: 11574959
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.