Andrew Luk

Publication Activity (10 Years)

Years Active: 1986-2009
Publications (10 Years): 0

Publications

Andrew Luk, Sandra Lien
Effects of widely separated clusters on lotto-type competitive learning with particle swarm features. IJCNN (2009)
Andrew Luk, Sandra Lien
Lotto-Type Competitive Learning with Particle Swarm Features II. IJCNN (2006)
Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu
Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function. IJCNN (2006)
Andrew Luk, Sandra Lien
Dynamics of the Generalized Lotto-Type Competitive Learning. IJCNN (4) (2000)
Andrew Luk
Analyses on the Generalised Lotto-Type Competitive Learning. IDEAL (2000)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
A Weight Evolution Algorithm with Deterministic Perturbation. IJCNN (1) (2000)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate. Neural Process. Lett. 9 (1) (1999)
Andrew Luk, Sandra Lien
Lotto-type competitive learning and its stability. IJCNN (1999)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
The generalized back-propagation algorithm with convergence analysis. ISCAS (5) (1999)
Sin Chun Ng, Chi Yin Chung, Shu-Hung Leung, Andrew Luk
A variable step size algorithm using evolution strategies for adaptive filtering. CEC (1999)
Andrew Luk, Sandra Lien
Rival rewarded and randomly rewarded rival competitive learning. IJCNN (1999)
Sin Chun Ng, Shu-Hung Leung, Andrew Luk
A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum. IJCNN (1999)
Andrew Luk, Sandra Lien
Effects of Sparsely Spaced Clusters on Lotto-Type Competitive Learning. ICONIP (1998)
Sin Chun Ng, S. H. Leung, Andrew Luk
Weight evolution algorithm with dynamic offset range. ICNN (1997)
Sin Chun Ng, Shu-Hung Leung, Chi Yuen Chung, Andrew Luk, Wing Hong Lau
The genetic search approach. A new learning algorithm for adaptive IIR filtering. IEEE Signal Process. Mag. 13 (6) (1996)
Sin Chun Ng, S. H. Leung, Andrew Luk
A generalized backpropagation algorithm for faster convergence. ICNN (1996)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network. International Conference on Evolutionary Computation (1996)
Wing Hong Lau, F. L. Hui, Shu Hung Leung, David Lee, Andrew Luk
Audio Signal Restoration Using Higher-order Spectra. ISSPA (1996)
F. L. Hui, Wing Hong Lau, Shu Hung Leung, Andrew Luk
Sequential Detection Using a New Recursive-Averaging Cumulant Estimation Method. ISCAS (1995)
Chi Yin Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk
A Variable Step Size Algorithm with Generate-and Evaluate Function. ISCAS (1995)
Sin Chun Ng, S. H. Leung, Andrew Luk
Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation. ICNN (1995)
Andrew Luk, Wai-Fung Leung
Optimal, matching-score network for pattern classification. ICASSP (2) (1994)
Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk
Fast convergent genetic search for adaptive IIR filtering. ICASSP (3) (1994)
Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk
An Evolutionary Search Algorithm for Adaptive IIR Equalizer. ISCAS (1994)
Andrew Luk, Shu Hung Leung, Wing Hong Lau, S. L. Lee
Prunging via number of links and neuron activities. ISCAS (1993)
Shu Hung Leung, K. L. Lai, O. Y. Wong, Andrew Luk
A new coded excitation model using multifrequency decomposition. EUROSPEECH (1991)
James E. S. Macleod, Andrew Luk, D. Mike Titterington
A Re-Examination of the Distance-Weighted k-Nearest Neighbor Classification Rule. IEEE Trans. Syst. Man Cybern. 17 (4) (1987)
Andrew Luk, James E. S. Macleod
An alternative nearest neighbour classification scheme. Pattern Recognit. Lett. 4 (5) (1986)