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 *

102 related articles for article (PubMed ID: 12022512)

  • 21. Extraction of fuzzy rules using neural networks with structure level adaptation and its application to diagnosis for hepatobiliary disorders.
    Ichimura T; Tazaki E; Yoshida K
    Medinfo; 1995; 8 Pt 1():843. PubMed ID: 8591342
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Nonlinear systems modeling based on self-organizing fuzzy-neural-network with adaptive computation algorithm.
    Han H; Wu XL; Qiao JF
    IEEE Trans Cybern; 2014 Apr; 44(4):554-64. PubMed ID: 23782841
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A recurrent self-organizing neural fuzzy inference network.
    Juang CF; Lin CT
    IEEE Trans Neural Netw; 1999; 10(4):828-45. PubMed ID: 18252581
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A type-2 self-organizing neural fuzzy system and its FPGA implementation.
    Juang CF; Tsao YW
    IEEE Trans Syst Man Cybern B Cybern; 2008 Dec; 38(6):1537-48. PubMed ID: 19022725
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis.
    Mansourypoor F; Asadi S
    Comput Biol Med; 2017 Dec; 91():337-352. PubMed ID: 29121541
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A fuzzy adaptive learning control network with on-line structure and parameter learning.
    Lin CJ
    Int J Neural Syst; 1996 Nov; 7(5):569-90. PubMed ID: 9040059
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A new learning algorithm for a fully connected neuro-fuzzy inference system.
    Chen CL; Wang J; Wang CH; Chen L
    IEEE Trans Neural Netw Learn Syst; 2014 Oct; 25(10):1741-57. PubMed ID: 25291730
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Fuzzy classifications using fuzzy inference networks.
    Cai LY; Kwan HK
    IEEE Trans Syst Man Cybern B Cybern; 1998; 28(3):334-47. PubMed ID: 18255951
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A new method for constructing membership functions and fuzzy rules from training examples.
    Wu TP; Chen SM
    IEEE Trans Syst Man Cybern B Cybern; 1999; 29(1):25-40. PubMed ID: 18252277
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A fuzzy neural network for knowledge learning.
    Fu HC; Shann JJ
    Int J Neural Syst; 1994 Mar; 5(1):13-22. PubMed ID: 7921381
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Constructing a fuzzy rule-based system using the ILFN network and Genetic Algorithm.
    Yen GG; Meesad P
    Int J Neural Syst; 2001 Oct; 11(5):427-43. PubMed ID: 11709810
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A parallel fuzzy inference model with distributed prediction scheme for reinforcement learning.
    Kuo YH; Hsu JP; Wang CW
    IEEE Trans Syst Man Cybern B Cybern; 1998; 28(2):160-72. PubMed ID: 18255934
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Neuro-fuzzy rule generation: survey in soft computing framework.
    Mitra S; Hayashi Y
    IEEE Trans Neural Netw; 2000; 11(3):748-68. PubMed ID: 18249802
    [TBL] [Abstract][Full Text] [Related]  

  • 34. ARPOP: an appetitive reward-based pseudo-outer-product neural fuzzy inference system inspired from the operant conditioning of feeding behavior in Aplysia.
    Cheu EY; Quek C; Ng SK
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):317-29. PubMed ID: 24808510
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. 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]  

  • 37. 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]  

  • 38. An adaptive neural fuzzy filter and its applications.
    Lin CT; Juang CF
    IEEE Trans Syst Man Cybern B Cybern; 1997; 27(4):635-56. PubMed ID: 18255903
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Extraction of fuzzy rules using neural networks with structure level adaptation--verification to the diagnosis of hepatobiliary disorders.
    Ichimura T; Tazaki E; Yoshida K
    Int J Biomed Comput; 1995 Oct; 40(2):139-46. PubMed ID: 8847122
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Evolutionary Local Search of Fuzzy Rules through a novel Neuro-Fuzzy encoding method.
    Carrascal A; Manrique D; Ríos J; Rossi C
    Evol Comput; 2003; 11(4):439-61. PubMed ID: 14629866
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.