Andrew Luk

According to our database, Andrew Luk authored at least 28 papers between 1986 and 2009.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2009

Effects of widely separated clusters on lotto-type competitive learning with particle swarm features.

Andrew Luk, Sandra Lien

Proceedings of the International Joint Conference on Neural Networks, 2009

2006

Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function.

Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu

Proceedings of the International Joint Conference on Neural Networks, 2006

Lotto-Type Competitive Learning with Particle Swarm Features II.

Andrew Luk, Sandra Lien

Proceedings of the International Joint Conference on Neural Networks, 2006

2000

A Weight Evolution Algorithm with Deterministic Perturbation.

Sin Chun Ng, Shu Hung Leung, Andrew Luk

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Dynamics of the Generalized Lotto-Type Competitive Learning.

Andrew Luk, Sandra Lien

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Analyses on the Generalised Lotto-Type Competitive Learning.

Andrew Luk

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999

Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate.

Sin Chun Ng, Shu Hung Leung, Andrew Luk

Neural Process. Lett., 1999

The generalized back-propagation algorithm with convergence analysis.

Sin Chun Ng, Shu Hung Leung, Andrew Luk

Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum.

Sin Chun Ng, Shu-Hung Leung, Andrew Luk

Proceedings of the International Joint Conference Neural Networks, 1999

Lotto-type competitive learning and its stability.

Andrew Luk, Sandra Lien

Proceedings of the International Joint Conference Neural Networks, 1999

Rival rewarded and randomly rewarded rival competitive learning.

Andrew Luk, Sandra Lien

Proceedings of the International Joint Conference Neural Networks, 1999

A variable step size algorithm using evolution strategies for adaptive filtering.

Sin Chun Ng, Chi Yin Chung, Shu-Hung Leung, Andrew Luk

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Effects of Sparsely Spaced Clusters on Lotto-Type Competitive Learning.

Andrew Luk, Sandra Lien

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Weight evolution algorithm with dynamic offset range.

Sin Chun Ng, S. H. Leung, Andrew Luk

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

The genetic search approach. A new learning algorithm for adaptive IIR filtering.

Sin Chun Ng, Shu-Hung Leung, Chi Yin Chung, Andrew Luk, Wing Hong Lau

IEEE Signal Process. Mag., 1996

Audio Signal Restoration Using Higher-order Spectra.

Wing Hong Lau, F. L. Hui, Shu Hung Leung, David Lee, Andrew Luk

Proceedings of the Fourth International Symposium on Signal Processing and Its Applications, 1996

A generalized backpropagation algorithm for faster convergence.

Sin Chun Ng, S. H. Leung, Andrew Luk

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network.

Sin Chun Ng, Shu Hung Leung, Andrew Luk

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1995

Sequential Detection Using a New Recursive-Averaging Cumulant Estimation Method.

F. L. Hui, Wing Hong Lau, Shu Hung Leung, Andrew Luk

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

A Variable Step Size Algorithm with Generate-and Evaluate Function.

Chi Yin Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation.

Sin Chun Ng, S. H. Leung, Andrew Luk

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

An Evolutionary Search Algorithm for Adaptive IIR Equalizer.

Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk

Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Fast convergent genetic search for adaptive IIR filtering.

Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Optimal, matching-score network for pattern classification.

Andrew Luk, Wai-Fung Leung

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993

Prunging via number of links and neuron activities.

Andrew Luk, Shu Hung Leung, Wing Hong Lau, S. L. Lee

Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993

1991

A new coded excitation model using multifrequency decomposition.

Shu Hung Leung, K. L. Lai, O. Y. Wong, Andrew Luk

Proceedings of the Second European Conference on Speech Communication and Technology, 1991

1987

A Re-Examination of the Distance-Weighted k-Nearest Neighbor Classification Rule.

James E. S. Macleod, Andrew Luk, D. Mike Titterington

IEEE Trans. Syst. Man Cybern., 1987

1986

An alternative nearest neighbour classification scheme.

Andrew Luk, James E. S. Macleod

Pattern Recognit. Lett., 1986