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 *

1014 related articles for article (PubMed ID: 18390309)

  • 1. DCT-Yager FNN: a novel Yager-based fuzzy neural network with the discrete clustering technique.
    Singh A; Quek C; Cho SY
    IEEE Trans Neural Netw; 2008 Apr; 19(4):625-44. PubMed ID: 18390309
    [TBL] [Abstract][Full Text] [Related]  

  • 2. FCMAC-Yager: a novel Yager-inference-scheme-based fuzzy CMAC.
    Sim J; Tung WL; Quek C
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1394-410. PubMed ID: 17131656
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Efficient learning algorithms for three-layer regular feedforward fuzzy neural networks.
    Liu P; Li H
    IEEE Trans Neural Netw; 2004 May; 15(3):545-58. PubMed ID: 15384545
    [TBL] [Abstract][Full Text] [Related]  

  • 4. POPFNN-CRI(S): pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier.
    Ang KK; Quek C; Pasquier M
    IEEE Trans Syst Man Cybern B Cybern; 2003; 33(6):838-49. PubMed ID: 18238237
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Falcon: neural fuzzy control and decision systems using FKP and PFKP clustering algorithms.
    Tung WL; Quek C
    IEEE Trans Syst Man Cybern B Cybern; 2004 Feb; 34(1):686-95. PubMed ID: 15369109
    [TBL] [Abstract][Full Text] [Related]  

  • 6. R-POPTVR: a novel reinforcement-based POPTVR fuzzy neural network for pattern classification.
    Wong WC; Cho SY; Quek C
    IEEE Trans Neural Netw; 2009 Nov; 20(11):1740-55. PubMed ID: 19770091
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System.
    Tang J; Zou Y; Ash J; Zhang S; Liu F; Wang Y
    PLoS One; 2016; 11(2):e0147263. PubMed ID: 26829639
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Asymmetric subsethood-product fuzzy neural inference system (ASuPFuNIS).
    Velayutham CS; Kumar S
    IEEE Trans Neural Netw; 2005 Jan; 16(1):160-74. PubMed ID: 15732396
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hierarchically clustered adaptive quantization CMAC and its learning convergence.
    Teddy SD; Lai EM; Quek C
    IEEE Trans Neural Netw; 2007 Nov; 18(6):1658-82. PubMed ID: 18051184
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Simplified interval type-2 fuzzy neural networks.
    Lin YY; Liao SH; Chang JY; Lin CT
    IEEE Trans Neural Netw Learn Syst; 2014 May; 25(5):959-69. PubMed ID: 24808041
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Design of double fuzzy clustering-driven context neural networks.
    Kim EH; Oh SK; Pedrycz W
    Neural Netw; 2018 Aug; 104():1-14. PubMed ID: 29689457
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of a two-stage fuzzy neural network to a prostate cancer prognosis system.
    Kuo RJ; Huang MH; Cheng WC; Lin CC; Wu YH
    Artif Intell Med; 2015 Feb; 63(2):119-33. PubMed ID: 25576196
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comments on "The multisynapse neural network and its application to fuzzy clustering".
    Yu J; Hao P
    IEEE Trans Neural Netw; 2005 May; 16(3):777-8. PubMed ID: 15941004
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic generation of fuzzy inference systems via unsupervised learning.
    Er MJ; Zhou Y
    Neural Netw; 2008 Dec; 21(10):1556-66. PubMed ID: 18653313
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Receptive field optimisation and supervision of a fuzzy spiking neural network.
    Glackin C; Maguire L; McDaid L; Sayers H
    Neural Netw; 2011 Apr; 24(3):247-56. PubMed ID: 21277162
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Unsupervised fuzzy clustering using Weighted Incremental Neural Networks.
    Muhammed HH
    Int J Neural Syst; 2004 Dec; 14(6):355-71. PubMed ID: 15714603
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Data-based system modeling using a type-2 fuzzy neural network with a hybrid learning algorithm.
    Yeh CY; Jeng WH; Lee SJ
    IEEE Trans Neural Netw; 2011 Dec; 22(12):2296-309. PubMed ID: 22010148
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clustering: a neural network approach.
    Du KL
    Neural Netw; 2010 Jan; 23(1):89-107. PubMed ID: 19758784
    [TBL] [Abstract][Full Text] [Related]  

  • 19. POPFNN: A Pseudo Outer-product Based Fuzzy Neural Network.
    Quek C; Zhou RW
    Neural Netw; 1996 Dec; 9(9):1569-1581. PubMed ID: 12662554
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network.
    Chen Z; Zhu Y; Di Y; Feng S
    Comput Intell Neurosci; 2015; 2015():919805. PubMed ID: 25691896
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 51.