 | 2009 |
|---|
| 12 |       | Chen-Chia Chuang,
Jin-Tsong Jeng,
Chin-Wang Tao:
Hybrid robust approach for TSK fuzzy modeling with outliers.
Expert Syst. Appl. 36(5): 8925-8931 (2009) |
| 2008 |
|---|
| 11 | | Zne-Jung Lee,
Shun-Feng Su,
Chen-Chia Chuang,
Kuan-Hung Liu:
Genetic algorithm with ant colony optimization (GA-ACO) for multiple sequence alignment.
Appl. Soft Comput. 8(1): 55-78 (2008) |
| 10 | | Chen-Chia Chuang:
Extended support vector interval regression networks for interval input-output data.
Inf. Sci. 178(3): 871-891 (2008) |
| 2007 |
|---|
| 9 | | Jin-Tsong Jeng,
Chen-Chia Chuang:
Annealing Robust Fuzzy Basis Function for Modeling of Molecular Autoregulatory Feedback Loop Systems with Outliers.
FUZZ-IEEE 2007: 1-6 |
| 8 | | Chen-Chia Chuang,
Chia-Chu Hsu,
Jin-Tsong Jeng:
Integration of CMAC-GBF and Support Vector Regression Techniques.
FUZZ-IEEE 2007: 1-6 |
| 7 | | Zne-Jung Lee,
Chen-Chia Chuang,
Kuo-Ching Ying:
An Intelligent Algorithm for Scheduling Jobs on a Single Machine with a Common Due Date.
KES (2) 2007: 689-695 |
| 6 | | Jin-Tsong Jeng,
Chen-Chia Chuang,
Chin Ching Hsiao:
Annealing robust fuzzy neural networks for modeling of molecular biology systems.
SMC 2007: 3113-3118 |
| 5 | | Chen-Chia Chuang,
Jin-Tsong Jeng:
CPBUM neural networks for modeling with outliers and noise.
Appl. Soft Comput. 7(3): 957-967 (2007) |
| 2005 |
|---|
| 4 | | Jin-Tsong Jeng,
Chen-Chia Chuang:
Annealing robust Walsh function networks for modeling with outliers and digital implementation.
ISCAS (3) 2005: 2498-2501 |
| 2004 |
|---|
| 3 | | Chih-Ching Hsiao,
Shun-Feng Su,
Tsu-Tian Lee,
Chen-Chia Chuang:
Hybrid compensation control for affine TSK fuzzy control systems.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1865-1873 (2004) |
| 2 | | Chen-Chia Chuang,
Jin-Tsong Jeng,
Pao-Tsun Lin:
Annealing robust radial basis function networks for function approximation with outliers.
Neurocomputing 56: 123-139 (2004) |
| 2003 |
|---|
| 1 | | Jin-Tsong Jeng,
Chen-Chia Chuang,
Shun-Feng Su:
Support vector interval regression networks for interval regression analysis.
Fuzzy Sets and Systems 138(2): 283-300 (2003) |
