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 *

221 related articles for article (PubMed ID: 25314714)

  • 1. Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms.
    Vyas BY; Das B; Maheshwari RP
    IEEE Trans Neural Netw Learn Syst; 2016 Aug; 27(8):1631-42. PubMed ID: 25314714
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A soft computing scheme incorporating ANN and MOV energy in fault detection, classification and distance estimation of EHV transmission line with FSC.
    Khadke P; Patne N; Singh A; Shinde G
    Springerplus; 2016; 5(1):1834. PubMed ID: 27818872
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fault detection and classification in electrical power transmission system using artificial neural network.
    Jamil M; Sharma SK; Singh R
    Springerplus; 2015; 4():334. PubMed ID: 26180754
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fuzzy Inference System Approach for Locating Series, Shunt, and Simultaneous Series-Shunt Faults in Double Circuit Transmission Lines.
    Swetapadma A; Yadav A
    Comput Intell Neurosci; 2015; 2015():620360. PubMed ID: 26413088
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. A fast and convergent stochastic MLP learning algorithm.
    Sakurai A
    Int J Neural Syst; 2001 Dec; 11(6):573-83. PubMed ID: 11852440
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Simulative and experimental investigation on stator winding turn and unbalanced supply voltage fault diagnosis in induction motors using Artificial Neural Networks.
    Lashkari N; Poshtan J; Azgomi HF
    ISA Trans; 2015 Nov; 59():334-42. PubMed ID: 26412499
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An on-line modified least-mean-square algorithm for training neurofuzzy controllers.
    Tan WW
    ISA Trans; 2007 Apr; 46(2):181-8. PubMed ID: 17337268
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Generalized RLS approach to the training of neural networks.
    Xu Y; Wong KW; Leung CS
    IEEE Trans Neural Netw; 2006 Jan; 17(1):19-34. PubMed ID: 16526473
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Fault location of two-parallel transmission line for double phase-to-earth fault using one-terminal data.
    Zhang QC; Duan H; Geng C; Song WN
    J Zhejiang Univ Sci; 2003; 4(5):520-5. PubMed ID: 12958709
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler.
    Li G; Niu P; Wang H; Liu Y
    Neural Netw; 2014 Mar; 51():57-66. PubMed ID: 24373896
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Least square neural network model of the crude oil blending process.
    Rubio Jde J
    Neural Netw; 2016 Jun; 78():88-96. PubMed ID: 26992706
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A fault-tolerant regularizer for RBF networks.
    Leung CS; Sum JP
    IEEE Trans Neural Netw; 2008 Mar; 19(3):493-507. PubMed ID: 18334367
    [TBL] [Abstract][Full Text] [Related]  

  • 16. New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry method.
    Mofavvaz S; Sohrabi MR; Nezamzadeh-Ejhieh A
    Spectrochim Acta A Mol Biomol Spectrosc; 2017 Jul; 182():105-115. PubMed ID: 28412664
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nonlinear model identification and adaptive model predictive control using neural networks.
    Akpan VA; Hassapis GD
    ISA Trans; 2011 Apr; 50(2):177-94. PubMed ID: 21281932
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SWAT: a spiking neural network training algorithm for classification problems.
    Wade JJ; McDaid LJ; Santos JA; Sayers HM
    IEEE Trans Neural Netw; 2010 Nov; 21(11):1817-30. PubMed ID: 20876015
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Data classification with radial basis function networks based on a novel kernel density estimation algorithm.
    Oyang YJ; Hwang SC; Ou YY; Chen CY; Chen ZW
    IEEE Trans Neural Netw; 2005 Jan; 16(1):225-36. PubMed ID: 15732402
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel approach to fault diagnosis in multicircuit transmission lines using fuzzy ARTmap neural networks.
    Aggarwal RK; Xuan QY; Johns AT; Li F; Bennett A
    IEEE Trans Neural Netw; 1999; 10(5):1214-21. PubMed ID: 18252622
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.