BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

209 related articles for article (PubMed ID: 22699326)

  • 1. Application of hydrologic forecast model.
    Hua X; Hengxin X; Zhiguo C
    Water Sci Technol; 2012; 66(2):239-46. PubMed ID: 22699326
    [TBL] [Abstract][Full Text] [Related]  

  • 2. FITSK: online local learning with generic fuzzy input Takagi-Sugeno-Kang fuzzy framework for nonlinear system estimation.
    Quah KH; Quek C
    IEEE Trans Syst Man Cybern B Cybern; 2006 Feb; 36(1):166-78. PubMed ID: 16468575
    [TBL] [Abstract][Full Text] [Related]  

  • 3. On the stability of interval type-2 TSK fuzzy logic control systems.
    Biglarbegian M; Melek WW; Mendel JM
    IEEE Trans Syst Man Cybern B Cybern; 2010 Jun; 40(3):798-818. PubMed ID: 19884090
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of quantum-based adaptive neuro-fuzzy networks.
    Kim SS; Kwak KC
    IEEE Trans Syst Man Cybern B Cybern; 2010 Feb; 40(1):91-100. PubMed ID: 19622441
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A fuzzy inference method based on association rule analysis with application to river flood forecasting.
    Zhang C; Wang Y; Zhang L; Zhou H
    Water Sci Technol; 2012; 66(10):2090-8. PubMed ID: 22949238
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fuzzy controller training using particle swarm optimization for nonlinear system control.
    Karakuzu C
    ISA Trans; 2008 Apr; 47(2):229-39. PubMed ID: 17976603
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Data-driven interval type-2 neural fuzzy system with high learning accuracy and improved model interpretability.
    Juang CF; Chen CY
    IEEE Trans Cybern; 2013 Dec; 43(6):1781-95. PubMed ID: 24273147
    [TBL] [Abstract][Full Text] [Related]  

  • 8. TSK fuzzy function approximators: design and accuracy analysis.
    Sonbol AH; Fadali MS; Jafarzadeh S
    IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):702-12. PubMed ID: 22155964
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An on-line algorithm for creating self-organizing fuzzy neural networks.
    Leng G; Prasad G; McGinnity TM
    Neural Netw; 2004 Dec; 17(10):1477-93. PubMed ID: 15541949
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Simultaneous structure identification and fuzzy rule generation for Takagi-Sugeno models.
    Pal NR; Saha S
    IEEE Trans Syst Man Cybern B Cybern; 2008 Dec; 38(6):1626-38. PubMed ID: 19022732
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Intelligent ensemble T-S fuzzy neural networks with RCDPSO_DM optimization for effective handling of complex clinical pathway variances.
    Du G; Jiang Z; Diao X; Yao Y
    Comput Biol Med; 2013 Jul; 43(6):613-34. PubMed ID: 23668338
    [TBL] [Abstract][Full Text] [Related]  

  • 12. NeuroFAST: on-line neuro-fuzzy ART-based structure and parameter learning TSK model.
    Tzafestas SG; Zikidis KC
    IEEE Trans Syst Man Cybern B Cybern; 2001; 31(5):797-802. PubMed ID: 18244844
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Identification of rhubarb samples based on IR spectra by using Takagi-Sugeno fuzzy systems].
    Tang YF; Zhang ZY; Fan GQ
    Guang Pu Xue Yu Guang Pu Fen Xi; 2005 Apr; 25(4):521-4. PubMed ID: 16097675
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data.
    Wang G; Zhou T; Choi KS; Lu J
    IEEE Trans Cybern; 2022 May; 52(5):3805-3818. PubMed ID: 32946410
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Knowledge-leverage-based TSK Fuzzy System modeling.
    Zhaohong Deng ; Yizhang Jiang ; Kup-Sze Choi ; Fu-Lai Chung ; Shitong Wang
    IEEE Trans Neural Netw Learn Syst; 2013 Aug; 24(8):1200-12. PubMed ID: 24808561
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhanced Ant Colony Optimization with Dynamic Mutation and Ad Hoc Initialization for Improving the Design of TSK-Type Fuzzy System.
    Chen CC; Liu YT
    Comput Intell Neurosci; 2018; 2018():9485478. PubMed ID: 29568311
    [TBL] [Abstract][Full Text] [Related]  

  • 17. T2FELA: type-2 fuzzy extreme learning algorithm for fast training of interval type-2 TSK fuzzy logic system.
    Deng Z; Choi KS; Cao L; Wang S
    IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):664-76. PubMed ID: 24807945
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Transductive Joint-Knowledge-Transfer TSK FS for Recognition of Epileptic EEG Signals.
    Deng Z; Xu P; Xie L; Choi KS; Wang S
    IEEE Trans Neural Syst Rehabil Eng; 2018 Aug; 26(8):1481-1494. PubMed ID: 29994680
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A gradient-descent-based approach for transparent linguistic interface generation in fuzzy models.
    Chen L; Chen CL; Pedrycz W
    IEEE Trans Syst Man Cybern B Cybern; 2010 Oct; 40(5):1219-30. PubMed ID: 19963699
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification and prediction of dynamic systems using an interactively recurrent self-evolving fuzzy neural network.
    Lin YY; Chang JY; Lin CT
    IEEE Trans Neural Netw Learn Syst; 2013 Feb; 24(2):310-21. PubMed ID: 24808284
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.