The following publications are possibly variants of this publication:
- Applying nonlinear generalized autoregressive conditional heteroscedasticity to compensate ANFIS outputs tuned by adaptive support vector regressionBao Rong Chang. fss, 157(13):1832-1850, 2006. [doi]
- Robust Forecasts by Composite Model ANFIS/NGARCH Tuned by Adaptive Support Vector RegressionBao Rong Chang, Hsiu Fen Tsai. fuzzIEEE 2006: 1512-1519 [doi]
- Forecast approach using neural network adaptation to support vector regression grey model and generalized auto-regressive conditional heteroscedasticityBao Rong Chang, Hsiu Fen Tsai. eswa, 34(2):925-934, 2008. [doi]
- Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast ModelBao Rong Chang, Hsiu Fen Tsai. isnn 2007: 357-367 [doi]
- Quantum minimization for adapting ANFIS outputs to its nonlinear generalized autoregressive conditional heteroscedasticityBao Rong Chang, Hsiu Fen Tsai. apin, 31(1):31-46, 2009. [doi]
- Forecasting Typhoon Moving Path Using BPNN-Weighted Grey-C3LSP Tuned by Quantum-Neuron-Based Adaptive Support Vector Regression with Nested Local Adiabatic EvolutionBao Rong Chang, Hsiu Fen Tsai. iih-msp 2007: 3-6 [doi]
- Resolving the forecasting problems of overshoot and volatility clustering using ANFIS coupling nonlinear heteroscedasticity with quantum tuningBao Rong Chang. fss, 159(23):3183-3200, 2008. [doi]