Bao Rong Chang

	2012
43		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
	2011
42		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
41		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
40		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
39		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
38		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
37		Chien-Feng Huang, Bao Rong Chang, Dun-Wei Cheng: Tracking extrema in dynamic environments using Probability Collectives Multi-agent Systems. ICMLC 2011: 33-39
36		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)
35		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)
	2010
34		Chien-Feng Huang, Bao Rong Chang: Adaptive Probabilistic Learning by Collectives in Dynamic Environments. GrC 2010: 229-234
33		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
32		Chien-Feng Huang, Bao Rong Chang: Probability Collectives Multi-Agent Systems: A Study of Robustness in Search. ICCCI (2) 2010: 334-343
31		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)
	2009
30		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
29		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
28		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)
27		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)
26		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)
25		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)
24		Bao Rong Chang, Hsiu Fen Tsai: Quantum-minimized BWGC/NGARCH approach to financial time series forecast. Neurocomputing 72(10-12): 2525-2535 (2009)
	2008
23		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
22		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
21		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)
20		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)
19		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)
18		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)
	2007
17		Bao Rong Chang, Hsiu Fen Tsai: Forecasting Approach Using Hybrid Model ASVR/NGARCH with Quantum Minimization. ICIC (2) 2007: 1265-1277
16		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
15		Bao Rong Chang, Hsiu Fen Tsai: Performance Evaluation of Three Kinds of Quantum Optimization. ISICA 2007: 224-233
14		Bao Rong Chang, Hsiu Fen Tsai: Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast Model. ISNN (3) 2007: 357-367
13		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)
12		Bao Rong Chang: A Hybrid System ASVR/NGARCH Tuned by Quantum-Based Minimization to Improve Forecasting Accuracy. JACIII 11(4): 381-388 (2007)
	2006
11		Bao Rong Chang: Novel Prediction Approach - Quantum-Minimum Adaptation to ANFIS Outputs and Nonlinear Generalized Autoregressive Conditional Heteroscedasticity. FSKD 2006: 908-918
10		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
9		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
8		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
7		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
6		Bao Rong Chang, Hsiu Fen Tsai: Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH. IJCNN 2006: 1247-1253
5		Bao Rong Chang, Hsiu Fen Tsai: New Approach to Financial Time Series Forecasting - Quantum Minimization Regularizing BWGC and NGARCH Composite Model. JCIS 2006
4		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)
	2005
3		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
2		Bao Rong Chang: Hybrid BPNN-Weighted Grey-CLSP Forecasting. J. Inf. Sci. Eng. 21(1): 209-221 (2005)
	2004
1		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

Coauthor Index

1	Chih-Hsiang Chang	[40] [41] [42]
2	Chi-Ming Chen	[38] [39] [43]
3	Shi-Huang Chen	[8] [9] [10]
4	Yu-Chang Chen	[9] [10]
5	Dun-Wei Cheng	[37] [42]
6	Ren-Yang Fang	[22]
7	Tsung-Nan Hsieh	[40] [41]
8	Wen-Shyong Hsieh	[9]
9	Chien-Feng Huang	[32] [33] [34] [35] [37] [39] [40] [41] [42] [43]
10	His-Chung Huang	[33]
11	Jen-Yi Huang	[9]
12	Jian-Jr Lin	[22] [23]
13	Zih-Yao Lin	[38] [39] [43]
14	You-Yi Lu	[9]
15	Hsiu Fen Tsai	[5] [6] [7] [8] [10] [13] [14] [15] [16] [17] [19] [20] [21] [23] [24] [25] [26] [27] [28] [29] [30] [31] [33] [36] [38] [39] [43]
16	Yu-Kuo Tseng	[9] [10]
17	Chung-Ping Young	[20] [22] [23] [30] [31]

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