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M. V. C. Rao: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Chen Li Poh, Loo Chu Kiong, M. V. C. Rao
    Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier. [Citation Graph (0, 0)][DBLP]
    ICONIP (2), 2006, pp:70-79 [Conf]
  2. Chu Kiong Loo, Way-Soong Lim, M. V. C. Rao
    Classifiers for Sonar Target Differentiation. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:305-311 [Conf]
  3. M. Senthil Arumugam, M. V. C. Rao, Ramaswamy Palaniappan
    New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2005, v:6, n:1, pp:38-52 [Journal]
  4. Loo Chu Kiong, Mandava Rajeswari, M. V. C. Rao
    Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:3, n:2, pp:159-175 [Journal]
  5. Loo Chu Kiong, Mandava Rajeswari, M. V. C. Rao
    Nonlinear dynamic system identification and control via constructivism inspired neural network. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:3, n:3, pp:237-257 [Journal]
  6. Tiew-On Ting, M. V. C. Rao, Chu Kiong Loo, S. S. Ngu
    Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 2003, v:9, n:6, pp:507-520 [Journal]
  7. Way-Soong Lim, M. V. C. Rao
    A new method of reducing network complexity in probabilistic neural network for target identification. [Citation Graph (0, 0)][DBLP]
    IEICE Electronic Express, 2004, v:1, n:17, pp:534-539 [Journal]
  8. S. Baskar, P. Subbaraj, M. V. C. Rao
    Performance of Hybrid Real Coded Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Engineering Science, 2001, v:2, n:4, pp:583-602 [Journal]
  9. Chu Kiong Loo, Augustine Law, Way-Soong Lim, M. V. C. Rao
    Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2006, v:15, n:1, pp:79-90 [Journal]
  10. Aarthi Chandramohan, M. V. C. Rao, M. Senthil Arumugam
    Two New and Useful Defuzzification Methods Based on Root Mean Square Value. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:11, pp:1047-1059 [Journal]
  11. Aarthi Chandramohan, M. V. C. Rao
    A Novel Approach for Combining Fuzzy Rules Using Mean Operators for Effective Rule Reduction. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:11, pp:1103-1108 [Journal]
  12. Chu Kiong Loo, M. V. C. Rao
    Accurate and Reliable Diagnosis and Classification Using Probabilistic Ensemble Simplified Fuzzy ARTMAP. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:11, pp:1589-1593 [Journal]
  13. Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar
    A signal subspace approach for speech modelling and classification. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:3, pp:500-508 [Journal]
  14. Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim
    On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2456-2460 [Journal]
  15. Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar
    A composite signal subspace speech classifier. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:11, pp:2600-2606 [Journal]

  16. An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. [Citation Graph (, )][DBLP]


  17. On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems. [Citation Graph (, )][DBLP]


  18. Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility. [Citation Graph (, )][DBLP]


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