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ORCIDEu Jin Teoh
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2000 – 2009
- 2009
[j6]Kay Chen Tan
, Eu Jin Teoh, Qiang Yu, K. C. Goh:
A hybrid evolutionary algorithm for attribute selection in data mining. Expert Syst. Appl. 36(4): 8616-8630 (2009)- [j5]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13(8-9): 833-846 (2009) - 2008
- [j4]Eu Jin Teoh, Kay Chen Tan, Huajin 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) - [j3]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Trans. Neural Networks 19(9): 1531-1548 (2008) - [c10]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 - [c9]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 - [c8]Eu Jin Teoh, Cheng Xiang:
Feature Selection and Classification via a GA?SVM Hybrid. GEM 2008: 83-89 - 2007
- [c7]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 - [c6]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 - [p1]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
- [j2]Huajin Tang, Kay Chen Tan, Eu Jin Teoh:
Dynamics analysis and analog associative memory of networks with LT neurons. IEEE Trans. Neural Networks 17(2): 409-418 (2006) - [j1]Eu Jin Teoh, Kay Chen Tan, Cheng Xiang:
Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. IEEE Trans. Neural Networks 17(6): 1623-1629 (2006) - [c5]Eu Jin Teoh, Huajin Tang, Kay Chen Tan:
A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. IJCNN 2006: 3254-3259 - [c4]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 - [c3]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 - 2005
- [c2]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 - [c1]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
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