An alternative nearest neighbour classification scheme. - Andrew Luk; James E. S. Macleod (Pattern Recognit. Lett., 1986)

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)

A new coded excitation model using multifrequency decomposition. - Shu Hung Leung; K. L. Lai; O. Y. Wong; Andrew Luk (EUROSPEECH, 1991)

Prunging via number of links and neuron activities. - Andrew Luk; Shu Hung Leung; Wing Hong Lau; S. L. Lee (ISCAS, 1993)

Optimal, matching-score network for pattern classification. - Andrew Luk; Wai-Fung Leung (ICASSP (2), 1994)

Fast convergent genetic search for adaptive IIR filtering. - Sin Chun Ng; Chi Yin Chung; Shu Hung Leung; Andrew Luk (ICASSP (3), 1994)

An Evolutionary Search Algorithm for Adaptive IIR Equalizer. - Sin Chun Ng; Chi Yin Chung; Shu Hung Leung; Andrew Luk (ISCAS, 1994)

Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation. - Sin Chun Ng; S. H. Leung 001; Andrew Luk (ICNN, 1995)

A Variable Step Size Algorithm with Generate-and Evaluate Function. - Chi Yin Chung; Sin Chun Ng; Shu Hung Leung; Andrew Luk (ISCAS, 1995)

Sequential Detection Using a New Recursive-Averaging Cumulant Estimation Method. - F. L. Hui; Wing Hong Lau; Shu Hung Leung; Andrew Luk (ISCAS, 1995)

Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network. - Sin Chun Ng; Shu Hung Leung; Andrew Luk (International Conference on Evolutionary Computation, 1996)

A generalized backpropagation algorithm for faster convergence. - Sin Chun Ng; S. H. Leung 001; Andrew Luk (ICNN, 1996)

Audio Signal Restoration Using Higher-order Spectra. - Wing Hong Lau; F. L. Hui; Shu Hung Leung; David Lee; Andrew Luk (ISSPA, 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)

Weight evolution algorithm with dynamic offset range. - Sin Chun Ng; S. H. Leung 001; Andrew Luk (ICNN, 1997)

Lotto-Type Competitive Learning. - Andrew Luk; Sandra Lien (ICONIP (1), 1997)

Effects of Sparsely Spaced Clusters on Lotto-Type Competitive Learning. - Andrew Luk; Sandra Lien (ICONIP, 1998)

A variable step size algorithm using evolution strategies for adaptive filtering. - Sin Chun Ng; Chi Yin Chung; Shu-Hung Leung; Andrew Luk (CEC, 1999)

Rival rewarded and randomly rewarded rival competitive learning. - Andrew Luk; Sandra Lien (IJCNN, 1999)

Lotto-type competitive learning and its stability. - Andrew Luk; Sandra Lien (IJCNN, 1999)

A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum. - Sin Chun Ng; Shu-Hung Leung; Andrew Luk (IJCNN, 1999)

The generalized back-propagation algorithm with convergence analysis. - Sin Chun Ng; Shu Hung Leung; Andrew Luk (ISCAS (5), 1999)

Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate. - Sin Chun Ng; Shu Hung Leung; Andrew Luk (Neural Process. Lett., 1999)

Analyses on the Generalised Lotto-Type Competitive Learning. - Andrew Luk (IDEAL, 2000)

Dynamics of the Generalized Lotto-Type Competitive Learning. - Andrew Luk; Sandra Lien (IJCNN (4), 2000)

A Weight Evolution Algorithm with Deterministic Perturbation. - Sin Chun Ng; Shu Hung Leung; Andrew Luk (IJCNN (1), 2000)

Detecting rare events with lotto-type competitive learning. - Andrew Luk; Sandra Lien (IJCNN, 2003)

Fast convergence for backpropagation network with magnified gradient function. - Sin Chun Ng; Chi-Chung Cheung; Shu-hung Leung; Andrew Luk (IJCNN, 2003)

Lotto-type competitive learning with particle swarm features. - Andrew Luk; Sandra Lien (IJCNN, 2005)

Evolution strategies on connection weights into modified gradient function for multi-layer neural networks. - Sin Chun Ng; Shu-Hung Leung; Andrew Luk (IJCNN, 2005)

Lotto-Type Competitive Learning with Particle Swarm Features II. - Andrew Luk; Sandra Lien (IJCNN, 2006)

Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function. - Sin Chun Ng; Shu Hung Leung; Andrew Luk; Yunfeng Wu (IJCNN, 2006)

Effects of widely separated clusters on lotto-type competitive learning with particle swarm features. - Andrew Luk; Sandra Lien (IJCNN, 2009)