Eu Jin Teoh

	2009
17		Kay Chen Tan, Eu Jin Teoh, Q. Yu, K. C. Goh: A hybrid evolutionary algorithm for attribute selection in data mining. Expert Syst. Appl. 36(4): 8616-8630 (2009)
16		Chi Keong Goh, Eu Jin Teoh, K. C. Tan: A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13(8-9): 833-846 (2009)
	2008
15		Eu Jin Teoh, Cheng Xiang: Feature Selection and Classification via a GA?SVM Hybrid. GEM 2008: 83-89
14		Ji Hua Ang, Eu Jin Teoh, C. H. Tan, K. C. Goh, Kay Chen Tan: Dimension reduction using evolutionary Support Vector Machines. IEEE Congress on Evolutionary Computation 2008: 3634-3641
13		Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh: An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 3741-3746
12		Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan: Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Transactions on Neural Networks 19(9): 1531-1548 (2008)
11		Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang, Chi Keong Goh: An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing 71(7-9): 1359-1372 (2008)
	2007
10		Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Abdullah Al Mamun: Multi-objective evolutionary Recurrent Neural Networks for system identification. IEEE Congress on Evolutionary Computation 2007: 1586-1592
9		Eu Jin Teoh, Cheng Xiang: A global-local hybrid Evolutionary Strategy (ES) for Recurrent Neural Networks (RNNs) in system identification. IEEE Congress on Evolutionary Computation 2007: 1628-1635
8		Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan: Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm. Advances in Evolutionary Computing for System Design 2007: 189-209
	2006
7		Eu Jin Teoh, Huajin Tang, Kay Chen Tan: A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. IJCNN 2006: 3254-3259
6		Eu Jin Teoh, Cheng Xiang, Kay Chen Tan: A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse. ISNN (1) 2006: 530-536
5		Eu Jin Teoh, Cheng Xiang, Kay Chen Tan: Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. ISNN (1) 2006: 858-865
4		Huajin Tang, Kay Chen Tan, Eu Jin Teoh: Dynamics analysis and analog associative memory of networks with LT neurons. IEEE Transactions on Neural Networks 17(2): 409-418 (2006)
3		Eu Jin Teoh, Kay Chen Tan, Cheng Xiang: Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. IEEE Transactions on Neural Networks 17(6): 1623-1629 (2006)
	2005
2		Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan: Adapting evolutionary dynamics of variation for multi-objective optimization. Congress on Evolutionary Computation 2005: 1290-1297
1		Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan: Evolution and incremental learning in the iterative prisoner's dilemma. Congress on Evolutionary Computation 2005: 2629-2636

Coauthor Index

1	Ji Hua Ang	[8] [10] [14]
2	Swee Chiang Chiam	[2]
3	Chi Keong Goh	[1] [2] [8] [10] [11] [12] [13] [16]
4	K. C. Goh	[14] [17]
5	Abdullah Al Mamun	[10]
6	Yew-Soon Ong	[13]
7	Hanyang Quek	[1]
8	C. H. Tan	[14]
9	K. C. Tan	[16]
10	Kay Chen Tan	[1] [2] [3] [4] [5] [6] [7] [8] [11] [12] [13] [14] [17]
11	H. J. Tang	[11]
12	Huajin Tang	[4] [7]
13	Cheng Xiang	[3] [5] [6] [9] [11] [15]
14	Q. Yu	[17]