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Cheng-Jian Lin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Cheng-Jian Lin, Yong-Ji Xu, Chi-Yung Lee
    An Efficient Genetic Algorithm for TSK-Type Neural Fuzzy Identifier Design. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2005, pp:551-553 [Conf]
  2. Cheng-Jian Lin, Chih-Hui Huang, Yong-Ji Xu, Chin-Ling Lee
    A Self-Constructing Neural Fuzzy Network with Dynamic-Form Symbiotic Evolution. [Citation Graph (0, 0)][DBLP]
    MLMTA, 2005, pp:184-189 [Conf]
  3. Cheng-Jian Lin
    A GA-based neural fuzzy system for temperature control. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:143, n:2, pp:311-333 [Journal]
  4. Cheng-Jian Lin, Cheng-Hung Chen
    Identification and prediction using recurrent compensatory neuro-fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:150, n:2, pp:307-330 [Journal]
  5. Cheng-Jian Lin, Wen-Hao Ho
    An asymmetry-similarity-measure-based neural fuzzy inference system. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:3, pp:535-551 [Journal]
  6. Cheng-Jian Lin, Yong-Ji Xu
    A self-adaptive neural fuzzy network with group-based symbiotic evolution and its prediction applications. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:8, pp:1036-1056 [Journal]
  7. Cheng-Jian Lin
    A Fuzzy Adaptive Learning Control Network with On-Line Structure and Parameter Learning. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1996, v:7, n:5, pp:569-590 [Journal]
  8. Cheng-Jian Lin
    SISO Nonlinear System Identification Using a Fuzzy-Neural Hybrid System. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:3, pp:325-337 [Journal]
  9. Cheng-Jian Lin, Chin-Teng Lin
    Adaptive fuzzy control of unstable nonlinear systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1995, v:6, n:3, pp:283-298 [Journal]
  10. Cheng-Jian Lin, Yong-Ji Xu
    A novel genetic reinforcement learning for nonlinear fuzzy control problems. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2078-2089 [Journal]
  11. Chi-Yung Lee, Cheng-Jian Lin, Huei-Jen Chen
    A self-constructing fuzzy CMAC model and its applications. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:1, pp:264-280 [Journal]
  12. Cheng-Jian Lin, Chi-Yung Lee, Cheng-Chung Chin
    Temperature control using neuro-fuzzy controllers with compensatory operations and wavelet neural networks. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2006, v:17, n:2, pp:145-157 [Journal]
  13. Cheng-Jian Lin, Yong-Ji Xu
    A novel evolution learning for recurrent wavelet-based neuro-fuzzy networks. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:3, pp:193-205 [Journal]
  14. Cheng-Jian Lin, Cheng-Chung Chin
    Prediction and identification using wavelet-based recurrent fuzzy neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:5, pp:2144-2154 [Journal]
  15. Cheng-Jian Lin, Cheng-Hung Chen
    A compensation-based recurrent fuzzy neural network for dynamic system identification. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2006, v:172, n:2, pp:696-715 [Journal]
  16. Cheng-Hung Chen, Cheng-Jian Lin, Chi-Yung Lee
    Efficient Reinforcement Hybrid Evolutionary Learning for Recurrent Wavelet-Based Neuro-fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2007, pp:207-216 [Conf]
  17. Chin-Ling Lee, Chih-Hui Huang, Cheng-Jian Lin
    Test-Sheet Composition Using Immune Algorithm for E-Learning Application. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2007, pp:823-833 [Conf]
  18. Cheng-Hung Chen, Chin-Teng Lin, Cheng-Jian Lin
    A Functional-Link-Based Fuzzy Neural Network for Temperature Control. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:53-58 [Conf]
  19. Cheng-Jian Lin, I-Fang Chung, Cheng-Hung Chen
    An entropy-based quantum neuro-fuzzy inference system for classification applications. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2502-2516 [Journal]
  20. Cheng-Jian Lin, Shang-Jin Hong
    The design of neuro-fuzzy networks using particle swarm optimization and recursive singular value decomposition. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:71, n:1-3, pp:297-310 [Journal]
  21. Chi-Yung Lee, Cheng-Jian Lin
    Multiple Compensatory Neural Fuzzy Networks Fusion Using Fuzzy Integral. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 2007, v:23, n:3, pp:839-853 [Journal]
  22. Cheng-Jian Lin, Yong-Ji Xu
    Design of Neuro-Fuzzy Systems Using a Hybrid Evolutionary Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 2007, v:23, n:2, pp:463-477 [Journal]
  23. Cheng-Jian Lin
    Wavelet Neural Networks with a Hybrid Learning Approach. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 2006, v:22, n:6, pp:1367-1387 [Journal]

  24. An Asymmetry Subsethood-Based Neural Fuzzy Network. [Citation Graph (, )][DBLP]


  25. The Design of Neuro-Fuzzy Networks Using Particle Swarm Optimization and Recursive Singular Value Decomposition. [Citation Graph (, )][DBLP]


  26. 2D/3D Face Recognition Using Neural Networks Based on Hybrid Taguchi-Particle Swarm Optimization. [Citation Graph (, )][DBLP]


  27. Nonlinear systems control using self-constructing wavelet networks. [Citation Graph (, )][DBLP]


  28. A novel parametric fuzzy CMAC network and its applications. [Citation Graph (, )][DBLP]


  29. A Self-organizing Quantum Neural Fuzzy Network and its Applications. [Citation Graph (, )][DBLP]


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