Jin-Tsong Jeng

	2012
28		Shun-Feng Su, Chen-Chia Chuang, Chin-Wang Tao, Jin-Tsong Jeng, Chih-Ching Hsiao: Radial Basis Function Networks With Linear Interval Regression Weights for Symbolic Interval Data. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(1): 69-80 (2012)
	2011
27		You-Min Jau, Jin-Tsong Jeng, Kuo-Lan Su: Modeling of fuzzy integral based nonlinear multi-regressions systems with QPSO-GS. FUZZ-IEEE 2011: 2839-2844
26		Yu-Yi Fu, Chia-Ju Wu, Chia-Nan Ko, Jin-Tsong Jeng: Radial basis function networks with hybrid learning for system identification with outliers. Appl. Soft Comput. 11(3): 3083-3092 (2011)
	2010
25		Jen-Wei Yeh, Shun-Feng Su, Jin-Tsong Jeng, Bor-Sen Chen: On learning analysis of neural fuzzy systems. FUZZ-IEEE 2010: 1-6
24		Jin-Tsong Jeng, Sheng-Lun Jheng, Chen-Chia Chuang: Hybrid SVM-GPs learning for modeling of mitogen-activated protein kinases systems with noise. SMC 2010: 2293-2298
23		Chin-Wang Tao, Chen-Chia Chuang, Meng-Hua Lai, Song-Shyong Chen, Jin-Tsong Jeng: Hybrid robust LS-SVMR with outliers for MIMO system. SMC 2010: 3839-3844
22		Yu-Yi Fu, Chia-Ju Wu, Jin-Tsong Jeng, Chia-Nan Ko: ARFNNs with SVR for prediction of chaotic time series with outliers. Expert Syst. Appl. 37(6): 4441-4451 (2010)
21		Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao: Interval competitive agglomeration clustering algorithm. Expert Syst. Appl. 37(9): 6567-6578 (2010)
20		Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao: Hybrid SVMR-GPR for modeling of chaotic time series systems with noise and outliers. Neurocomputing 73(10-12): 1686-1693 (2010)
	2009
19		Chen-Chia Chuang, Chin-Wang Tao, Jin-Tsong Jeng: Robust clustering algorithm for the symbolic interval-values data with outliers. FUZZ-IEEE 2009: 1232-1237
18		Jin-Tsong Jeng, Chen-Chia Chuang, Sheng-Lun Jheng: Hybrid SVM-GPs learning for modeling of molecular autoregulatory feedback loop systems with outliers. FUZZ-IEEE 2009: 1244-1249
17		Yu-Yi Fu, Chia-Ju Wu, Jin-Tsong Jeng, Chia-Nan Ko: Identification of MIMO systems using radial basis function networks with hybrid learning algorithm. Applied Mathematics and Computation 213(1): 184-196 (2009)
16		Horng-Lin Shieh, Ying-Kuei Yang, Po-Lun Chang, Jin-Tsong Jeng: Robust neural-fuzzy method for function approximation. Expert Syst. Appl. 36(3): 6903-6913 (2009)
15		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
14		Chen-Chia Chuang, Jin-Tsong Jeng, Mei-Lang Chan: Robust least squares-support vector machines for regression with outliers. FUZZ-IEEE 2008: 312-317
13		Jin-Tsong Jeng, Chen-Chia Chuang, Mei-Lang Chan: Hybrid support vector machines learning for fuzzy neural networks with outliers. FUZZ-IEEE 2008: 396-401
	2007
12		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
11		Chen-Chia Chuang, Chia-Chu Hsu, Jin-Tsong Jeng: Integration of CMAC-GBF and Support Vector Regression Techniques. FUZZ-IEEE 2007: 1-6
10		Jin-Tsong Jeng, Chen-Chia Chuang, Chin Ching Hsiao: Annealing robust fuzzy neural networks for modeling of molecular biology systems. SMC 2007: 3113-3118
9		Chen-Chia Chuang, Jin-Tsong Jeng: CPBUM neural networks for modeling with outliers and noise. Appl. Soft Comput. 7(3): 957-967 (2007)
	2006
8		Jin-Tsong Jeng: Annealing robust fuzzy basis function for modelling with noise and outliers. IJCAT 27(2/3): 166-173 (2006)
	2005
7		Jin-Tsong Jeng, Chen-Chia Chuang: Annealing robust Walsh function networks for modeling with outliers and digital implementation. ISCAS (3) 2005: 2498-2501
	2004
6		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
5		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)
	2002
4		Chen-Chia Chuang, Shun-Feng Su, Jin-Tsong Jeng, Chih-Ching Hsiao: Robust support vector regression networks for function approximation with outliers. IEEE Transactions on Neural Networks 13(6): 1322-1330 (2002)
	2000
3		Jin-Tsong Jeng, Tsu-Tian Lee: Control of magnetic bearing systems via the Chebyshev polynomial-based unified model (CPBUM) neural network. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(1): 85-92 (2000)
	1999
2		Jin-Tsong Jeng, Tsu-Tian Lee: A neural gain scheduling network controller for nonholonomic systems. IEEE Transactions on Systems, Man, and Cybernetics, Part A 29(6): 654-661 (1999)
	1998
1		Tsu-Tian Lee, Jin-Tsong Jeng: The Chebyshev-polynomials-based unified model neural networks for function approximation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(6): 925-935 (1998)

Coauthor Index

1	Mei-Lang Chan	[13] [14]
2	Po-Lun Chang	[16]
3	Bor-Sen Chen	[25]
4	Song-Shyong Chen	[23]
5	Chen-Chia Chuang	[4] [5] [6] [7] [9] [10] [11] [12] [13] [14] [15] [18] [19] [20] [21] [23] [24] [28]
6	Yu-Yi Fu	[17] [22] [26]
7	Chih-Ching Hsiao	[4] [28]
8	Chin Ching Hsiao	[10]
9	Chia-Chu Hsu	[11]
10	You-Min Jau	[27]
11	Sheng-Lun Jheng	[18] [24]
12	Chia-Nan Ko	[17] [22] [26]
13	Meng-Hua Lai	[23]
14	Tsu-Tian Lee	[1] [2] [3]
15	Pao-Tsun Lin	[6]
16	Horng-Lin Shieh	[16]
17	Kuo-Lan Su	[27]
18	Shun-Feng Su	[4] [5] [25] [28]
19	Chin-Wang Tao	[15] [19] [20] [21] [23] [28]
20	Chia-Ju Wu	[17] [22] [26]
21	Ying-Kuei Yang	[16]
22	Jen-Wei Yeh	[25]

Colors in the list of coauthors

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