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Shang-Ming Zhou: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. John Q. Gan, Shang-Ming Zhou
    A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2006, pp:183-194 [Conf]
  2. Shangming Zhou, John Q. Gan
    Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:613-618 [Conf]
  3. Shang-Ming Zhou, John Q. Gan
    Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:8, pp:1057-1074 [Journal]
  4. Shang-Ming Zhou, John Q. Gan
    An Unsupervised Kernel Based Fuzzy C-Means Clustering Algorithm With Kernel Normalisation. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2004, v:4, n:4, pp:355-374 [Journal]
  5. Shang-Ming Zhou, John Q. Gan
    Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2007, v:15, n:3, pp:398-409 [Journal]

  6. A Novel Approach to Type-2 Fuzzy Addition. [Citation Graph (, )][DBLP]

  7. New Type-2 Rule Ranking Indices for Designing Parsimonious Interval Type-2 Fuzzy Logic Systems. [Citation Graph (, )][DBLP]

  8. Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes. [Citation Graph (, )][DBLP]

  9. Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments. [Citation Graph (, )][DBLP]

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