Eu Jin Teoh

Publication Activity (10 Years)

Years Active: 2005-2009
Publications (10 Years): 0

Publications

Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan
A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13 (8-9) (2009)
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) (2009)
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)
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)
Eu Jin Teoh, Cheng Xiang
Feature Selection and Classification via a GA?SVM Hybrid. GEM (2008)
Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Trans. Neural Networks 19 (9) (2008)
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) (2008)
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)
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)
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) (2006)
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) (2006)
Eu Jin Teoh, Huajin Tang, Kay Chen Tan
A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. IJCNN (2006)
Eu Jin Teoh, Cheng Xiang, Kay Chen Tan
A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse. ISNN (1) (2006)
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)
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)
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)