Andrew Luk - researchr alias

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Viewing Publication 1 - 32 from 32

2009

Effects of widely separated clusters on lotto-type competitive learning with particle swarm featuresAndrew Luk, Sandra Lien. ijcnn 2009: 1931-1938 [doi]

2006

Lotto-Type Competitive Learning with Particle Swarm Features IIAndrew Luk, Sandra Lien. ijcnn 2006: 3640-3647 [doi]

Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient FunctionSin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu. ijcnn 2006: 3672-3678 [doi]

2005

Lotto-type competitive learning with particle swarm featuresAndrew Luk, Sandra Lien. ijcnn 2005: 1517-1522 [doi]

Evolution strategies on connection weights into modified gradient function for multi-layer neural networksSin Chun Ng, Shu Hung Leung, Andrew Luk. ijcnn 2005: 1371-1376 [doi]

2003

Detecting rare events with lotto-type competitive learningAndrew Luk, Sandra Lien. ijcnn 2003: 2506-2511 [doi]

Fast convergence for backpropagation network with magnified gradient functionSin Chun Ng, Chi-Chung Cheung, Shu Hung Leung, Andrew Luk. ijcnn 2003: 1903-1908 [doi]

2000

Dynamics of the Generalized Lotto-Type Competitive LearningAndrew Luk, Sandra Lien. ijcnn 2000: 597-601 [doi]

Analyses on the Generalised Lotto-Type Competitive LearningAndrew Luk. ideal 2000: 9-16 [doi]

A Weight Evolution Algorithm with Deterministic PerturbationSin Chun Ng, Shu Hung Leung, Andrew Luk. ijcnn 2000: 185-190 [doi]

1999

1998

Effects of Sparsely Spaced Clusters on Lotto-Type Competitive LearningAndrew Luk, Sandra Lien. iconip 1998: 229-232

1997

Weight evolution algorithm with dynamic offset rangeSin Chun Ng, S. H. Leung, Andrew Luk. icnn 1997: 1093-1096 [doi]

1996

1995

A Variable Step Size Algorithm with Generate-and Evaluate FunctionC. Y. Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk. iscas 1995: 1380-1383

Sequential Detection Using a New Recursive-Averaging Cumulant Estimation MethodF. L. Hui, Wing Hong Lau, Shu Hung Leung, Andrew Luk. iscas 1995: 2293-2296

Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagationSin Chun Ng, S. H. Leung, Andrew Luk. icnn 1995: 3004-3008 [doi]

1994

Optimal, matching-score network for pattern classificationAndrew Luk, Wai-Fung Leung. icassp 1994: 597-600 [doi]

An Evolutionary Search Algorithm for Adaptive IIR EqualizerSin Chun Ng, C. Y. Chung, Shu Hung Leung, Andrew Luk. iscas 1994: 53-56

Fast convergent genetic search for adaptive IIR filteringSin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk. icassp 1994: 105-108 [doi]

1993

Prunging via number of links and neuron activitiesAndrew Luk, Shu Hung Leung, Wing Hong Lau, S. L. Lee. iscas 1993: 2415-2418

1991

A new coded excitation model using multifrequency decompositionShu Hung Leung, K. L. Lai, O. Y. Wong, Andrew Luk. interspeech 1991: 245-248 [doi]

1987

A Re-Examination of the Distance-Weighted k-Nearest Neighbor Classification RuleJames E. S. Macleod, Andrew Luk, D. Mike Titterington. tsmc, 17(4):689-696, 1987. [doi]

1986

An alternative nearest neighbour classification schemeAndrew Luk, James E. S. Macleod. prl, 4(5):375-381, 1986. [doi]

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