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Gexiang Zhang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gexiang Zhang, Laizhao Hu, Weidong Jin
    Radar Emitter Signal Recognition Based on Feature Selection Algorithm. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:1108-1114 [Conf]
  2. Gexiang Zhang
    Support Vector Machines with Huffman Tree Architecture for Multiclass Classification. [Citation Graph (0, 0)][DBLP]
    CIARP, 2005, pp:24-33 [Conf]
  3. Gexiang Zhang, Laizhao Hu, Weidong Jin
    Discretization of Continuous Attributes in Rough Set Theory and Its Application. [Citation Graph (0, 0)][DBLP]
    CIS, 2004, pp:1020-1026 [Conf]
  4. Gexiang Zhang, Weidong Jin, Laizhao Hu
    A Novel Feature Selection Approach and Its Application. [Citation Graph (0, 0)][DBLP]
    CIS, 2004, pp:665-671 [Conf]
  5. Gexiang Zhang, Laizhao Hu, Weidong Jin
    Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:155-168 [Conf]
  6. Gexiang Zhang, Haina Rong, Weidong Jin
    Intra-pulse Modulation Recognition of Unknown Radar Emitter Signals Using Support Vector Clustering. [Citation Graph (0, 0)][DBLP]
    FSKD, 2006, pp:420-429 [Conf]
  7. Gexiang Zhang, Zhexin Cao, Yajun Gu
    A Hybrid Classifier Based on Rough Set Theory and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    FSKD (1), 2005, pp:1287-1296 [Conf]
  8. Gexiang Zhang, Zhexin Cao, Yajun Gu, Weidong Jin, Laizhao Hu
    Radar Emitter Signal Recognition Based on Feature Selection and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2005, pp:707-716 [Conf]
  9. Gexiang Zhang, Laizhao Hu, Weidong Jin
    Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition. [Citation Graph (0, 0)][DBLP]
    MDAI, 2004, pp:92-103 [Conf]
  10. Gexiang Zhang, Haina Rong, Weidong Jin, Laizhao Hu
    Radar Emitter Signal Recognition Based on Resemblance Coefficient Features. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:665-670 [Conf]
  11. Gexiang Zhang, Weidong Jin, Na Li
    An Improved Quantum Genetic Algorithm and Its Application. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:449-452 [Conf]
  12. Gexiang Zhang
    Intra-pulse Modulation Recognition of Advanced Radar Emitter Signals Using Intelligent Recognition Method. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:707-712 [Conf]
  13. Gexiang Zhang, Haina Rong
    Quantum-Inspired Genetic Algorithm Based Time-Frequency Atom Decomposition. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (4), 2007, pp:243-250 [Conf]
  14. Gexiang Zhang, Haina Rong
    Real-Observation Quantum-Inspired Evolutionary Algorithm for a Class of Numerical Optimization Problems. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (4), 2007, pp:989-996 [Conf]
  15. Gexiang Zhang, Haina Rong
    Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation. [Citation Graph (0, 0)][DBLP]
    RSKT, 2007, pp:492-499 [Conf]
  16. Gexiang Zhang, Haina Rong
    Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals. [Citation Graph (0, 0)][DBLP]
    RSKT, 2007, pp:484-491 [Conf]

  17. A particle swarm optimization based on P systems. [Citation Graph (, )][DBLP]


  18. Comparisons of quantum rotation gates in quantum-inspired evolutionary algorithms. [Citation Graph (, )][DBLP]


  19. A Differential Evolution Based Time-Frequency Atom Decomposition for Analyzing Emitter signals. [Citation Graph (, )][DBLP]


  20. An Improved Membrane Algorithm for Solving Time-Frequency Atom Decomposition. [Citation Graph (, )][DBLP]


  21. Tuning P Systems for Solving the Broadcasting Problem. [Citation Graph (, )][DBLP]


  22. Radar emitter signal recognition based on support vector machines. [Citation Graph (, )][DBLP]


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