Andrew Luk

33 papers B 12C 5Journal 4Unranked 12
YearRankTypeTitle / Venue / Authors
2009 B conf
Effects of widely separated clusters on lotto-type competitive learning with particle swarm features.
IJCNN
Andrew Luk, Sandra Lien
2006 B conf
Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function.
IJCNN
Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu
2006 B conf
Lotto-Type Competitive Learning with Particle Swarm Features II.
IJCNN
Andrew Luk, Sandra Lien
2005 B conf
Evolution strategies on connection weights into modified gradient function for multi-layer neural networks.
IJCNN
Sin Chun Ng, Shu-Hung Leung, Andrew Luk
2005 B conf
Lotto-type competitive learning with particle swarm features.
IJCNN
Andrew Luk, Sandra Lien
2003 B conf
Detecting rare events with lotto-type competitive learning.
IJCNN
Andrew Luk, Sandra Lien
2003 B conf
Fast convergence for backpropagation network with magnified gradient function.
IJCNN
Sin Chun Ng, Chi-Chung Cheung, Shu-Hung Leung, Andrew Luk
2000 — conf
A Weight Evolution Algorithm with Deterministic Perturbation.
IJCNN (1)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
2000 C conf
Analyses on the Generalised Lotto-Type Competitive Learning.
IDEAL
Andrew Luk
2000 — conf
Dynamics of the Generalized Lotto-Type Competitive Learning.
IJCNN (4)
Andrew Luk, Sandra Lien
1999 B conf
A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum.
IJCNN
Sin Chun Ng, Shu-Hung Leung, Andrew Luk
1999 B conf
A variable step size algorithm using evolution strategies for adaptive filtering.
CEC
Sin Chun Ng, Chi Yin Chung, Shu-Hung Leung, Andrew Luk
1999 J jnl
Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate.
Neural Process. Lett.
Sin Chun Ng, Shu Hung Leung, Andrew Luk
1999 B conf
Lotto-type competitive learning and its stability.
IJCNN
Andrew Luk, Sandra Lien
1999 B conf
Rival rewarded and randomly rewarded rival competitive learning.
IJCNN
Andrew Luk, Sandra Lien
1999 — conf
The generalized back-propagation algorithm with convergence analysis.
ISCAS (5)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
1998 B conf
Effects of Sparsely Spaced Clusters on Lotto-Type Competitive Learning.
ICONIP
Andrew Luk, Sandra Lien
1997 — conf
Lotto-Type Competitive Learning.
ICONIP (1)
Andrew Luk, Sandra Lien
1997 — conf
Weight evolution algorithm with dynamic offset range.
ICNN
Sin Chun Ng, S. H. Leung, Andrew Luk
1996 — conf
A generalized backpropagation algorithm for faster convergence.
ICNN
Sin Chun Ng, S. H. Leung, Andrew Luk
1996 — conf
Audio Signal Restoration Using Higher-order Spectra.
ISSPA
Wing Hong Lau, F. L. Hui, Shu Hung Leung, David Lee, Andrew Luk
1996 — conf
Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network.
International Conference on Evolutionary Computation
Sin Chun Ng, Shu Hung Leung, Andrew Luk
1996 J jnl
The genetic search approach. A new learning algorithm for adaptive IIR filtering.
IEEE Signal Process. Mag.
Sin Chun Ng, Shu-Hung Leung, Chi Yin Chung, Andrew Luk, Wing Hong Lau
1995 C conf
A Variable Step Size Algorithm with Generate-and Evaluate Function.
ISCAS
Chi Yin Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk
1995 — conf
Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation.
ICNN
Sin Chun Ng, S. H. Leung, Andrew Luk
1995 C conf
Sequential Detection Using a New Recursive-Averaging Cumulant Estimation Method.
ISCAS
F. L. Hui, Wing Hong Lau, Shu Hung Leung, Andrew Luk
1994 C conf
An Evolutionary Search Algorithm for Adaptive IIR Equalizer.
ISCAS
Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk
1994 — conf
Fast convergent genetic search for adaptive IIR filtering.
ICASSP (3)
Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk
1994 — conf
Optimal, matching-score network for pattern classification.
ICASSP (2)
Andrew Luk, Wai-Fung Leung
1993 C conf
Prunging via number of links and neuron activities.
ISCAS
Andrew Luk, Shu Hung Leung, Wing Hong Lau, S. L. Lee
1991 — conf
A new coded excitation model using multifrequency decomposition.
EUROSPEECH
Shu Hung Leung, K. L. Lai, O. Y. Wong, Andrew Luk
1987 J jnl
A Re-Examination of the Distance-Weighted k-Nearest Neighbor Classification Rule.
IEEE Trans. Syst. Man Cybern.
James E. S. Macleod, Andrew Luk, D. Mike Titterington
1986 J jnl
An alternative nearest neighbour classification scheme.
Pattern Recognit. Lett.
Andrew Luk, James E. S. Macleod