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 | 2012 | |
|---|---|---|
| c30 |      | Bao Rong Chang, Hsiu Fen Tsai, Zih-Yao Lin, Chi-Ming Chen, Chien-Feng Huang: Adaptive Performance for VVoIP Implementation in Cloud Computing Environment. ACIIDS (3) 2012: 356-365 |
| c29 | | Bao Rong Chang, Hsiu Fen Tsai, Zih-Yao Lin, Chi-Ming Chen, Chien-Feng Huang: Intelligent VVoIP implementation in UEC cloud computing. ICMLC 2012: 519-524 |
| c28 | | Chien-Feng Huang, Chih-Hsiang Chang, Li-Min Kuo, Bo-Hau Lin, Tsung-Nan Hsieh, Bao Rong Chang: A genetic-search model for first-day returns using IPO fundamentals. ICMLC 2012: 1662-1667 |
| 2011 | ||
| j16 | | Bao Rong Chang, Hsiu Fen Tsai: Timing of resources exploration in the behavior of firm - Empirical simulation by intelligent hybrid model. Appl. Soft Comput. 11(1): 1029-1035 (2011) |
| j15 | | Chien-Feng Huang, Bao Rong Chang: A Study of Probability Collectives Multi-agent Systems on Optimization and Robustness. T. Computational Collective Intelligence 4: 141-159 (2011) |
| c27 | | Chien-Feng Huang, Chih-Hsiang Chang, Bao Rong Chang, Dun-Wei Cheng: A study of a hybrid evolutionary fuzzy model for stock selection. FUZZ-IEEE 2011: 210-217 |
| c26 | | Bao Rong Chang, Hsiu Fen Tsai, Chien-Feng Huang, Zih-Yao Lin, Chi-Ming Chen: Implementation of mobile video/voice over IP and access control on cloud computing. GrC 2011: 89-94 |
| c25 | | Chien-Feng Huang, Chih-Hsiang Chang, Bao Rong Chang, Tsung-Nan Hsieh: A genetic-based stock selection model using investor sentiment indicators. GrC 2011: 262-267 |
| c24 | | Chien-Feng Huang, Tsung-Nan Hsieh, Bao Rong Chang, Chih-Hsiang Chang: A comparative study of stock scoring using regression and genetic-based linear models. GrC 2011: 268-273 |
| c23 | | Bao Rong Chang, Hsiu Fen Tsai, Zih-Yao Lin, Chi-Ming Chen: Access Security on Cloud Computing Implemented in Hadoop System. ICGEC 2011: 77-80 |
| c22 | | Chien-Feng Huang, Bao Rong Chang, Dun-Wei Cheng: Tracking extrema in dynamic environments using Probability Collectives Multi-agent Systems. ICMLC 2011: 33-39 |
| 2010 | ||
| j14 | | Bao Rong Chang, Hsiu Fen Tsai, Chung-Ping Young: Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing. Expert Syst. Appl. 37(3): 2439-2450 (2010) |
| c21 | | Chien-Feng Huang, Bao Rong Chang: Adaptive Probabilistic Learning by Collectives in Dynamic Environments. GrC 2010: 229-234 |
| c20 | | Bao Rong Chang, Hsiu Fen Tsai, Chien-Feng Huang, His-Chung Huang: Private Small-Cloud Computing in Connection with WinCE Thin Client. ICCCI (2) 2010: 172-182 |
| c19 | | Chien-Feng Huang, Bao Rong Chang: Probability Collectives Multi-Agent Systems: A Study of Robustness in Search. ICCCI (2) 2010: 334-343 |
| 2009 | ||
| j13 | | Bao Rong Chang, Hsiu Fen Tsai: Quantum minimization for adapting ANFIS outputs to its nonlinear generalized autoregressive conditional heteroscedasticity. Appl. Intell. 31(1): 31-46 (2009) |
| j12 | | Bao Rong Chang, Hsiu Fen Tsai: Novel hybrid approach to data-packet-flow prediction for improving network traffic analysis. Appl. Soft Comput. 9(3): 1177-1183 (2009) |
| j11 | | Bao Rong Chang, Hsiu Fen Tsai: Nested local adiabatic evolution for quantum-neuron-based adaptive support vector regression and its forecasting applications. Expert Syst. Appl. 36(2): 3388-3400 (2009) |
| j10 | | Bao Rong Chang, Hsiu Fen Tsai: Improving network traffic analysis by foreseeing data-packet-flow with hybrid fuzzy-based model prediction. Expert Syst. Appl. 36(3): 6960-6965 (2009) |
| j9 | | Bao Rong Chang, Hsiu Fen Tsai: Quantum-minimized BWGC/NGARCH approach to financial time series forecast. Neurocomputing 72(10-12): 2525-2535 (2009) |
| c18 | | Bao Rong Chang, Hsiu Fen Tsai, Chung-Ping Young: A Fast and Effective Approach to Lane Marking and Neighboring Vehicles Detections Based on Vision/GPS Sensing Together with Vehicle-to-Vehicle Communication. HIS (1) 2009: 3-8 |
| c17 | | Bao Rong Chang, Hsiu Fen Tsai: Applying Visual Image and Satellite Positioning for Fast Vehicle Detection and Lane Marking Recognition. IIH-MSP 2009: 518-521 |
| 2008 | ||
| j8 | | Bao Rong Chang, Hsiu Fen Tsai: Forecast approach using neural network adaptation to support vector regression grey model and generalized auto-regressive conditional heteroscedasticity. Expert Syst. Appl. 34(2): 925-934 (2008) |
| j7 | | Bao Rong Chang, Hsiu Fen Tsai, Chung-Ping Young: Diversity of quantum optimizations for training adaptive support vector regression and its prediction applications. Expert Syst. Appl. 34(4): 2612-2621 (2008) |
| j6 | | Hsiu Fen Tsai, Bao Rong Chang: Timing of resources exploration in the behavior of firm - Innovative approach and empirical simulation. Expert Syst. Appl. 34(4): 2656-2663 (2008) |
| j5 | | Bao Rong Chang: Resolving the forecasting problems of overshoot and volatility clustering using ANFIS coupling nonlinear heteroscedasticity with quantum tuning. Fuzzy Sets and Systems 159(23): 3183-3200 (2008) |
| c16 | | Bao Rong Chang, Chung-Ping Young, Hsiu Fen Tsai, Jian-Jr Lin: Applying Embedded Hybrid ANFIS/Quantum-Tuned BPNN Prediction to Collision Warning System for Motor Vehicle Safety. ISDA (1) 2008: 3-8 |
| c15 | | Chung-Ping Young, Bao Rong Chang, Jian-Jr Lin, Ren-Yang Fang: Cooperative Collision Warning Based Highway Vehicle Accident Reconstruction. ISDA (1) 2008: 561-565 |
| 2007 | ||
| j4 | | Bao Rong Chang, Hsiu Fen Tsai: Composite of adaptive support vector regression and nonlinear conditional heteroscedasticity tuned by quantum minimization for forecasts. Appl. Intell. 27(3): 277-289 (2007) |
| j3 | | Bao Rong Chang: A Hybrid System ASVR/NGARCH Tuned by Quantum-Based Minimization to Improve Forecasting Accuracy. JACIII 11(4): 381-388 (2007) |
| c14 | | Bao Rong Chang, Hsiu Fen Tsai: Forecasting Approach Using Hybrid Model ASVR/NGARCH with Quantum Minimization. ICIC (2) 2007: 1265-1277 |
| c13 | | Bao Rong Chang, Hsiu Fen Tsai: Forecasting Typhoon Moving Path Using BPNN-Weighted Grey-C3LSP Tuned by Quantum-Neuron-Based Adaptive Support Vector Regression with Nested Local Adiabatic Evolution. IIH-MSP 2007: 3-6 |
| c12 | | Bao Rong Chang, Hsiu Fen Tsai: Performance Evaluation of Three Kinds of Quantum Optimization. ISICA 2007: 224-233 |
| c11 | | Bao Rong Chang, Hsiu Fen Tsai: Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast Model. ISNN (3) 2007: 357-367 |
| 2006 | ||
| j2 | | Bao Rong Chang: Applying nonlinear generalized autoregressive conditional heteroscedasticity to compensate ANFIS outputs tuned by adaptive support vector regression. Fuzzy Sets and Systems 157(13): 1832-1850 (2006) |
| c10 | | Bao Rong Chang: Novel Prediction Approach - Quantum-Minimum Adaptation to ANFIS Outputs and Nonlinear Generalized Autoregressive Conditional Heteroscedasticity. FSKD 2006: 908-918 |
| c9 | | Bao Rong Chang, Hsiu Fen Tsai, Shi-Huang Chen, Yu-Chang Chen, Yu-Kuo Tseng: Regularizing BWGC/NGARCH Model by Quantum Minimization. ICICIC (2) 2006: 250-253 |
| c8 | | 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. ICICIC (2) 2006: 262-265 |
| c7 | | Hsiu Fen Tsai, Bao Rong Chang: Intelligence-Based Model to Timing Problem of Resources Exploration in the Behavior of Firm. ICONIP (3) 2006: 478-487 |
| c6 | | Bao Rong Chang, Shi-Huang Chen, Hsiu Fen Tsai: Forecasting the Flow of Data Packets for Website Traffic Analysis - ASVR-Tuned ANFIS/NGARCH Approach. ICONIP (2) 2006: 925-933 |
| c5 | | Bao Rong Chang, Hsiu Fen Tsai: Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH. IJCNN 2006: 1247-1253 |
| c4 | | Bao Rong Chang, Hsiu Fen Tsai: New Approach to Financial Time Series Forecasting - Quantum Minimization Regularizing BWGC and NGARCH Composite Model. JCIS 2006 |
| 2005 | ||
| j1 | | |
| c3 | | Bao Rong Chang: Forecasting the Flow of Data Packets in Web Using ANFISCH Predictor Tuned by Segmented Adaptive Support Vector Regression. CIT 2005: 23-27 |
| 2004 | ||
| c2 | | Bao Rong Chang: Tunable free parameters C and epsilon-tube in support vector regression for grey prediction model - SVRGM(1, 1|C, e) approach. SMC (3) 2004: 2431-2437 |
| 2003 | ||
| c1 | | Bao Rong Chang: A tunable epsilon-tube in support vector regression for refining parameters of GM(1, 1 | τ) prediction model - SVRGM(1, 1 | τ) approach. SMC 2003: 4700-4704 |
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