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Bao Rong Chang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bao Rong Chang
    Forecasting the Flow of Data Packets in Web Using ANFISCH Predictor Tuned by Segmented Adaptive Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    CIT, 2005, pp:23-27 [Conf]
  2. Bao Rong Chang
    Novel Prediction Approach - Quantum-Minimum Adaptation to ANFIS Outputs and Nonlinear Generalized Autoregressive Conditional Heteroscedasticity. [Citation Graph (0, 0)][DBLP]
    FSKD, 2006, pp:908-918 [Conf]
  3. Bao Rong Chang, Shi-Huang Chen, Hsiu Fen Tsai
    Forecasting the Flow of Data Packets for Website Traffic Analysis - ASVR-Tuned ANFIS/NGARCH Approach. [Citation Graph (0, 0)][DBLP]
    ICONIP (2), 2006, pp:925-933 [Conf]
  4. Hsiu Fen Tsai, Bao Rong Chang
    Intelligence-Based Model to Timing Problem of Resources Exploration in the Behavior of Firm. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:478-487 [Conf]
  5. Bao Rong Chang, Hsiu Fen Tsai
    New Approach to Financial Time Series Forecasting - Quantum Minimization Regularizing BWGC and NGARCH Composite Model. [Citation Graph (0, 0)][DBLP]
    JCIS, 2006, pp:- [Conf]
  6. Bao Rong Chang
    Tunable free parameters C and epsilon-tube in support vector regression for grey prediction model - SVRGM(1, 1|C, e) approach. [Citation Graph (0, 0)][DBLP]
    SMC (3), 2004, pp:2431-2437 [Conf]
  7. Bao Rong Chang, Hsiu Fen Tsai, Shi-Huang Chen, Yu-Chang Chen, Yu-Kuo Tseng
    Regularizing BWGC/NGARCH Model by Quantum Minimization. [Citation Graph (0, 0)][DBLP]
    ICICIC (2), 2006, pp:250-253 [Conf]
  8. Yu-Kuo Tseng, You-Yi Lu, Jen-Yi Huang, Wen-Shyong Hsieh, Bao Rong Chang, Yu-Chang Chen, Shi-Huang Chen
    ID-Based PPM for IP Traceback. [Citation Graph (0, 0)][DBLP]
    ICICIC (2), 2006, pp:262-265 [Conf]
  9. Bao Rong Chang
    Applying nonlinear generalized autoregressive conditional heteroscedasticity to compensate ANFIS outputs tuned by adaptive support vector regression. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:13, pp:1832-1850 [Journal]
  10. Bao Rong Chang
    Hybrid BPNN-Weighted Grey-CLSP Forecasting. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 2005, v:21, n:1, pp:209-221 [Journal]
  11. Bao Rong Chang, Hsiu Fen Tsai
    Forecasting Approach Using Hybrid Model ASVR/NGARCH with Quantum Minimization. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2007, pp:1265-1277 [Conf]
  12. Bao Rong Chang, Hsiu Fen Tsai
    Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast Model. [Citation Graph (0, 0)][DBLP]
    ISNN (3), 2007, pp:357-367 [Conf]
  13. Bao Rong Chang, Hsiu Fen Tsai
    Performance Evaluation of Three Kinds of Quantum Optimization. [Citation Graph (0, 0)][DBLP]
    ISICA, 2007, pp:224-233 [Conf]

  14. A Fast and Effective Approach to Lane Marking and Neighboring Vehicles Detections Based on Vision/GPS Sensing Together with Vehicle-to-Vehicle Communication. [Citation Graph (, )][DBLP]

  15. Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH. [Citation Graph (, )][DBLP]

  16. Applying Embedded Hybrid ANFIS/Quantum-Tuned BPNN Prediction to Collision Warning System for Motor Vehicle Safety. [Citation Graph (, )][DBLP]

  17. Cooperative Collision Warning Based Highway Vehicle Accident Reconstruction. [Citation Graph (, )][DBLP]

  18. Adaptive Probabilistic Learning by Collectives in Dynamic Environments. [Citation Graph (, )][DBLP]

  19. Composite of adaptive support vector regression and nonlinear conditional heteroscedasticity tuned by quantum minimization for forecasts. [Citation Graph (, )][DBLP]

  20. Quantum minimization for adapting ANFIS outputs to its nonlinear generalized autoregressive conditional heteroscedasticity. [Citation Graph (, )][DBLP]

  21. Novel hybrid approach to data-packet-flow prediction for improving network traffic analysis. [Citation Graph (, )][DBLP]

  22. Timing of resources exploration in the behavior of firm - Empirical simulation by intelligent hybrid model. [Citation Graph (, )][DBLP]

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