1) Peng Tang, Mingbo Zhao, Tommy W. S. Chow, Text Style Analysis using Trace Ratio Criterion Patch Alignment Embedding, Neurocomputing, in press.
2) Xiaohang Jin, Fang Yuan, Tommy W. S. Chow, Mingbo Zhao Weighted Local and Global Regressive Mapping: A New Manifold Learning Method for Machine Defect Classification, Engineering Applications of Artificial Intelligence, in press.
3) Yu Wang, Xiongfei Wei, K L Tsui, Tommy W. S. Chow, Tribological Degradation of Head-disk Interface in Hard Disk Drives under Accelerated Wear Condition, IEEE Tractions on Magnetics, in press.
4) Bill C.P. Lau, Eden W.M. Ma, Tommy W. S. Chow, Probabilistic Fault Detector for Wireless Sensor Network, Expert Systems with Applications, vol. 41, no. 8, pp. 3703-3711, Jun. 2014.
5) Xiaohang Jin, Mingbo Zhao, Tommy W. S. Chow, and Michael Pecht, Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis, IEEE Transactions on Industrial Electronics, vol. 61, no. 5, pp. 2441-2451, May. 2014.
6) Yu Wang, Eden W. M. Ma, Tommy W. S. Chow, and K. L. Tsui, A Two-step Parametric Method for Failure Prediction in Hard Disk Drives, IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 419-430, Feb. 2014.
7) Bing Li, Tommy W. S. Chow, Peng Tang, Analyzing Rough Set based Attribute Reductions by Extension Rule, Neurocomputing, vol. 123, pp. 185-196, Jan. 2014.
8) Xiaohang Jin, Tommy W. S. Chow, Anomaly Detection of Cooling Fan and Fault Classification of Induction Motor Using Mahalanobis-Taguchi System, Expert Systems with Applications, vol. 40, no. 15, pp. 5787-5795, Nov. 2013.
9) Zhao Zhang, Mingbo Zhao, Tommy W. S. Chow, Binary- and Multi-Class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification, IEEE Transactions on Knowledge Data Engineering,vol. 25, no. 10, pp. 2192-2205, Oct. 2013.
10) Bing Li, Tommy W. S. Chow, Di Huang, A Novel Feature Selection Method and its Application, Journal of Intelligent Information Systems, vol. 41, no. 2, pp. 235-268, Oct. 2013.
11) Bernard Chiu, Bing Li, Tommy W. S. Chow, Novel 3D Ultrasound Image-based Biomarkers based on a Feature Selection from a 2D Standardized Vessel Wall Thickness Map: a Tool for Sensitive Assessment of Therapies for Carotid Atherosclerosis, Physics in Medicine and Biology, Vol 58, No. 17, pp. 5959-5982, Sep 2013.
12) Peng Tang, Tommy W. S. Chow, Recognition of Word Collocation Habits using Frequency Rank Ratio and Inter-term Intimacy, Expert Systems with Applications, vol. 40, no. 11, pp. 4301 C4314, Sep. 2013.
13) Bing Li, Guanrong Chen, Tommy W. S. Chow, Naming Game With Multiple Hearers, Communications in Nonlinear Science and Numerical Simulation, vol. 18, no. 5, pp. 1214-1228, May 2013.
14) Zhou Wu, Tommy W. S. Chow, Neighborhood Field for Cooperative Optimization, Soft Computing, vol. 17, no. 5, pp 819-834, May 2013 15) Mingbo Zhao, Rosa H. M. Chan, Peng Tang, Tommy W. S. Chow, Savio W. H. Wong, Trace Ratio Linear Discrimianat Analysis for Medical Diagnosis: A Case Study of Dementia, IEEE Signal Process Letters, vol. 20, no. 5, pp. 431-434, May 2013.
16) Zhao Zhang, Tommy W. S. Chow, Mingbo Zhao, Trace Ratio Optimization-based Semi-supervised Nonlinear Dimensionality Reduction For Marginal Manifold Visualization, IEEE Transactions on Knowledge Data Engineering,vol. 25, no. 5, pp. 1148-1161, May 2013.
17) Zhou Wu, Tommy W. S. Chow, Shi Cheng, Yuhui Shi, Contour Gradient Optimization, International Journal of Swarm Intelligence Research,vol. 4, no. 2, pp. 1-28, Apr 2013. 18) Xiao Dong Li, Tommy W. S. Chow, L. L. Cheng, Adaptive Iterative Learning Control of Nonlinear MIMO Continuous Systems with Iteration-varying Initial Error and Reference Trajectory, International Journal of System Science, vol. 44, no. 4, pp. 786-794, Apr. 2013.
19) Zhou Wu, Tommy W. S. Chow, Binary Neighbourhood Field Optimisation for Unit Commitment Problems, IET Generation, Transmission & Distribution, vol. 7, no. 3, pp. 298 C 308, Mar. 2013.
20) Zhao Zhang, Tommy W. S. Chow, Ning Ye, Semisupervised Multimodal Dimensionality Reduction, Computational Intelligence, vol 29, no. 1, pp. 70-110, Feb. 2013.
21) Zhao Zhang, Tommy W. S. Chow, Mingbo Zhao, M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction, IEEE Transactions of System Man Cybernetics Part B, Vol 43, No. 1, Feb 2013, pp. 180-191.
22) Zhao Zhang, Mingbo Zhao, Tommy W. S. Chow, Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition, Neural Networks, Vol 36, Dec 2012, pp. 97-111.
23) Zhou Wu, Tommy W. S. Chow, A Local Multiobjective Optimization Algorithm using Neighborhood Field, Structure Multidiscipline Optimization, vol. 46, no. 6, pp. 853-870, Dec. 2012.
24) Zhao Zhang, Mingbo Zhao, Tommy W. S. Chow, Constrained Large Margin Local Projection Algorithms and Extensions for Multimodal Dimensionality Reduction, Pattern Recognition,vol. 45, no. 12, pp. 4466-4493, Dec. 2012.
25) Mingbo Zhao, Tommy W. S. Chow, Zhao Zhang, Random Walk-based Fuzzy Linear Discriminant Analysis for Dimensionality Reduction, Soft Computing, vol. 16, no. 8, pp. 1393-1409, Aug. 2012.
26) Wenbin Wang, Matthew J. Carr, Tommy W. S. Chow, Michael Pecht, A Two-Level Inspection Model with Technological Insertions, IEEE Transactions on Reliability, vol. 61, no. 2, pp. 479-490, Jun. 2012.
27) Haijun Zhang, Jonathan Q. M. Wu, Tommy W. S. Chow, Mingbo Zhao, A Two-dimensional Neighbourhood Preserving Projection for Appearance Based Face Recognition, Pattern Recognition,vol. 45, no. 5, pp. 1866-1876, May 2012.
28) Mingbo Zhao, Zhao Zhang, Tommy W. S. Chow, Trace Ratio Criterion based Generalized Discriminative Learning for Semi-Supervised Dimensionality Reduction, Pattern Recognition, vol. 45, no. 4, pp. 1482- 1499, Apr. 2012.
29) Mingbo Zhao, Tommy W. S. Chow, Zhao Zhang, Random Walk-based Fuzzy Linear Discriminant Analysis for Dimensionality Reduction, Soft Computing, vol. 16, no. 8, pp. 1393-1409, Mar. 2012.
30) Zhao Zhang, Tommy W. S. Chow, Robust Linearly Optimized Discriminant Analysis, Neurocomputing, vol.79, pp.140-157, Mar. 2012.
31) Zhao Zhang, Tommy W. S. Chow, MaximumMarginMultisurfaceSupportTensor MachineswithApplicationtoImageClassificationandSegmentation, Expert System with Applications, Vol 39 Issue 1, January, 2012pp. 849-860.
32) HaiJun Zhang, Gang. Liu, Tommy W. S. Chow, Wenyin Liu, Textual and Visual Content-based Anti-phishing: A Bayesian Approach, IEEE Trans on Neural Networks, Vol. 22, Iss 10, Octo 2011, pp. 1532-1546.
33) Zhao Zhang, Tommy W. S. Chow, Tensor Locally Linear Discriminative Analysis, IEEE Signal Processing Letters, vol.18, Iss.11, pp.643-646, 2011.
34) Yang Xu, Lu Xu, and Tommy W. S. Chow, PPoSOM: A new variant of PolSOM by using probabilistic assignment for multidimensional data visualization, Neurocomputing, Vol. 74, Iss 11, pp. 2018-2027, May 2011.
35) Haijun Zhang, Tommy W. S. Chow, A Coarse-to-Fine Framework to Efficiently Thwart Plagiarism, Pattern Recognition, Vol. 44, Iss. 2, pp. 471-487, Feb 2011.
36) Lu Xu, Tommy W. S. Chow, Self-Organizing Potential Field Network: A New Optimization Algorithm, IEEE Trans on Neural Networks, Vol. 21`, Issue: 9, pp. 1482-1495, Sept, 2010.
37) Wei Huang, Tommy W. S. Chow, Effective strategy of adding nodes and links for maximizing the traffic capacity of scale-free network, Chaos, Vol. 20, Issue 3, Sept 2010. 38) Sachin Kumar, Tommy W. S. Chow, Michael Pecht, Approach to Fault Identification for Electronic Products Using Mahalanobis Distance, IEEE Trans on Instrumentations and Measurements, Vol. 59, No. 8, pp.2055-2064, Aug, 2010.
39) Haijun Zhang, Tommy W. S. Chow, A Novel Dual Wing Harmonium Model Aided by 2-D Wavelet Transform Subbands for Document Data Mining, Expert Systems With Applications, Vol. 37, Issue 6, June 2010, pp. 4403-4412.
40) Lu Xu, Yang Xu, Tommy W. S. Chow, PolSOM: A New Method for Multidimensional Data Visualization, Pattern Recognition, Vol. 43, Issue 4, April 2010, pp. 1668-1675.
41) M. K. M. Rahman, Tommy W. S. Chow, Content-based Hierarchical Document Organization using Multi-Layer Hybrid Network and Tree-Structured Features, Expert Systems With Applications, Vol. 37, Issue 4, April 2010, pp. 2874-2881.
42) Wei Huang, Tommy W. S. Chow, Network Topological Optimization for Packet Routing Using Multi-objective Simulated Annealing Method, Physica A: Statistical Mechanics and its Applications, Vol. 389, Issue 4, February 2010, pp. 871-880.
43) Wei Huang, Tommy W. S. Chow, An efficient strategy for enhancing traffic capacity by removing links in scale-free networks, Journal of Statistical Mechanics: Theory and Experiment, Vol. 2010, Issue 1, January, 2010.
44) Wei Huang, Tommy W. S. Chow, Investigation of both local and global topological ingredients on transport efficiency in scale-free networks, Chaos, Vol. 19, Issue 4, Dec, 2009.
45) Tommy W. S. Chow, Haijun Zhang, M. K. M. Rahman, A New Document Representation Using Term Frequency and Vectorized Graph Connectionists with Application to Document Retrieval, Expert Systems With Applications, Vol. 36, Issue 10, December 2009, pp. 12023-12035.
46) Haijun Zhang, Tommy W. S. Chow, M. K. M. Rahman, A new Dual Wing Harmonium Model for Document Retrieval, Pattern Recognition, Volume 42, Issue 11, November 2009, pp. 2950-2960.
47) T. W. S. Chow, M. K. M. Rahman, Multi-Layer SOM with Tree Structured Data for Efficient Document Retrieval and Plagiarism Detection, IEEE Trans on Neural Networks, Vol. 20, No. 9, Sept 2009, pp. 1385-1402.
48) Zhaohui Gan, Ming-Bo Zhao, T. W. S. Chow, Induction machine fault detection using clone selection programming, Expert Systems With Applications, Volume 36, Issue 4, May 2009, pp. 8000-8012.
49) P. Y. Wang, T. W. S. Chow, Chris W. F. Chiu, Computational Accounting in determining Chart-of-Accounts Using Nominal Data Analysis and Concept of Entropy, Expert Systems With Applications, Volume 36, Issue 3, April 2009, pp. 6966-6977.
50) X. D. Li, T. W. S. Chow, John K. L. Ho, Iterative Learning Control with Initial Rectifying Action for Nonlinear Continuous Systems, IET Control Theory & Applications, Volume 3, Issue 1, 2009, pp. 49-55.
51) Zhaohui Gan, T. W. S. Chow, W. N. Chau, Clone Selection Programming and Its Application to Symbolic Regression, Expert Systems With Applications, Volume 36, Issue 2, March 2009, pp. 3996-4005.
52) X. D. Li, T. W. S. Chow, and John K. L. Ho, Quasi-Sliding Mode Based Repetitive Control for Nonlinear Continuous-Time Systems with Rejection of Periodic Disturbances, Automatica, Volume 45, Issue 1, January 2009, pp. 103-108.
53) D. Huang, Zhaohui Gan, T. W. S. Chow, Enhanced Feature Selection Models using Gradient-based and Point injection techniques, Neuocomputing, Volume 71, Issue 16-18, October 2008, pp. 3114-3123.
54) T. W. S. Chow, P. Y. Wang, and Eden W. M, Ma, A New Feature Selection Scheme using data distribution factor for unsupervised nominal data, IEEE Trans on SMC Part B, Vol. 38, No. 2, pp. 499-509, April 2008.
55) X. D. Li, T. W. S. Chow, John K. L. Ho, Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays, International Journal of Systems science, Vol. 39, No 4, April 2008, pp.361-369.
56) D. Huang, T. W. S. Chow, Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer, Bioinformatics, Vol. 23, No.12, pp.1503-1510, 2007.
57) Zhaohui Gan, T. W. S. Chow, D. Huang, Effective gene selection method using Bayesian discriminant based criterion and genetic algorithms, Journal of Signal Processing Systems, Volume 50, No. 3, pp. 293-304, March, 2008.
58) M. K. M. Rahman, T. W. S. Chow, P. Y Wang, Sitao Wu, A Flexible Multi-Layer Self-Organizing Map for Generic Processing of Tree-Structured Data, Pattern Recognition, Issue. 40, pp. 1406-1424, 2007.
59) D. Huang, T. W. S. Chow, An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques, Lecture Notes in Computer Science, October 2006. I. King et al. (Eds.): ICONIP 2006, Part II, LNCS 4233, pp. 679 C 692, 2006. Springer-Verlag Berlin Heidelberg 2006.
60) Sitao Wu, T. W. S. Chow, Self-Organizing and Self-Evolving Neurons: a New Neural Network for Optimization, IEEE Trans on Neural Networks, Vol. 18, No. 2, pp. 385-396, March 2007.
61) D. Huang, T. W. S. Chow, Effective gene selection method with small sample sets using gradient-based and point injection techniques, IEEE ACM Transactions on Computational Biology and Bioinformatics. Vol. 4. No. 3, Sept. 2007.
62) T. W. S. Chow, M. K. M. Rahman, A New Image Classification Technique using Tree-Structured Regional Features, Neurocomputing, vol. 70,Issue 4-6,pp. 1040-1050, 2007.
63) Xiao-Dong LI, T. W. S. Chow, John K. L. Ho, H. Z. Tan, Repetitive Learning Control of Nonlinear Continuous-Time Systems Using Quasi-Sliding Mode, IEEE Trans on Control System Technology, Vol. 15, No. 2, March 2007.
64) D. Huang, T. W. S. Chow, Improving the effectiveness of RBF classifier based on a hybrid cost function, Neural Computing & Applications, Vol. 16, No. 4-5, May, 2007.
65) T. W. S. Chow, M. K. M. Rahman, Face Matching in Large Database by Self-Organising Maps, Neural Processing Letters, Volume 23, Issue 3, Jun 2006, Pages 305 C 323. 66) Yong Fang, T. W. S. Chow, Wavelets Based Neural Network for function approximation, Lecture Notes in Computer Science, Vol. 3971/2006, pp. 80-85. 67) T. W. S. Chow, M. K. M. Rahman, Sitao Wu, Content Based Image Retrieval by Using Tree-Structured Features and Multi-Layer SOM, Pattern Analysis and Applications, 9, May. 2006, 1-20. 68) Sitao Wu, T. W. S. Chow, K. T. Ng, Kim Fung Tsang, Improvement of borrowing channel assignment for patternd traffic load by online cellular probabilistic self-organising map, Neural Computing and Applications, Volume 15, Issue 3 - 4, Jun 2006, Pages 298 C 309.
69) Sitao Wu, T. W. S. Chow, K. T. Ng, Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load, Neural Processing Letters, Vol. 23, pp. 71-88, Feb 2006.
70) S. Y. Cho, T. W. S. Chow, Robust Face Recognition By Using Generalized Neural Reflectance Model, Neural Computing & Applications, 15 (2): 170-182 April 2006.
71) D. Huang, T. W. S. Chow, Enhancing Density Based Data Reduction Using Entropy, Neural Computation, Feb 2006, Vol. 18, No. 2, pp. 470-495.
72) Sitao Wu, T. W. S. Chow, PRSOM: A New Visualization Method by Hybridizing Multi-Dimensional Scaling and Self-Organizing Map, IEEE Trans on Neural Networks, Vol. 16, No. 6, November 2005, pp. 1362-1380.
73) Y. Fang, T. W. S. Chow, Non-linear Dynamical Systems Control Using a New RNN Temporal Learning Strategy, IEEE Trans on Circuit and Systems, Part II, Vol. 52, No.11, November 2005, pp.719-723.
74) Xiao-Dong LI , John K. L. Ho and T. W. S. Chow, Approximation of Dynamical Time-Variant Systems by Continuous-Time Recurrent Neural Networks, IEEE Trans on Circuit and Systems, Part II, Vol. 52, No.10, October 2005, pp.656-660. 75) D. Huang, T. W. S. Chow, Eden W. M. Ma, Jinyan Li, Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis, IEEE Trans on Circuit and Systems, Part I, Vol. 52, Iss. 9, Sept 2005, pp. 1909-1918.
76) Xiao-Dong LI , John K. L. Ho and T. W. S. Chow, An iterative learning control method and mathematical model for robotic manipulation at undesired locations, International Journal of Computer Integrated Manufacturing, Vol. 18, No. 6, Sept 2005, pp. 480-486.
77) Xiao-Dong LI, T. W. S. Chow , and John K. L. Ho, 2-D System Theory Based Iterative Learning Control for Linear Continuous Systems with Time-Delays, IEEE Trans on Circuit and Systems, Part I, Vol. 52, No. 7, July 2005, pp.1421-1430.
78) Sitao Wu, M. K. M. Rahman. T. W. S. Chow, Content-based image retrieval using growing hierarchical self-organizing quadtree map, Pattern Recognition, Vol. 38, Issue. 5, May 2005, pp. 707-722.
79) D. Huang, and T. W. S. Chow, Efficiently searching the important input variables using Bayesian discriminant, IEEE Trans on Circuit and Systems, Part I, Vol. 52, No. 4, April 2005, pp. 785-793.
80) Xiao-Dong LI, John K. L. Ho, T. W. S. Chow, Iterative Learning Control for Linear Time-Variant Discrete Systems Based on 2-D System Theory, IEE Proceedings IEE Proceedings Control Theory and Applications, Vol. 152, No. 1, Jan 2005, pp.13-18.
81) T. W. S. Chow, D. Huang, Estimating Optimal Features Subset Using Efficient Estimate of High Dimensional Mutual Information, IEEE Trans on Neural Networks, Vol. 16, No. 1, January 2005, pp.213-224.
82) D. Huang, T. W. S. Chow, Effective feature selection scheme using mutual information, Neurocomputing, Vol. 63, August 2004, pp. 325-343.
83) T. W.S. Chow, Shi Hai, Induction machine fault diagnostic analysis with wavelet analysis, IEEE Trans On Industrial Electronics, Vol. 51, No. 3, 558-565, June 2004.
84) Eden W. M. Ma, T. W. S. Chow, A new shifting grid clustering algorithm, Pattern Recognition, vol. 37, pp.503-514, 2004.
85) B. Y. Wang, T. W. S. Chow, K. T. Ng, Blind adaptive identification of FIR channel in chaotic communication systems, Chinese physics, Vol: 13 iss: 3, March 2004, pp. 329-334.
86) B. Y. Wang, T. W. S. Chow, K. T. Ng An Improved Multipath Channel Identification Algorithm Using Multichannel Linear Prediction, Circuit System and Signal Processing, Vol. 23, No. 2, pp. 153-168, 2004.
87) Sitao Wu, T. W. S. Chow, Induction machine fault detection using SOM-based RBF neural networks, IEEE Trans On Industrial Electronics, Vol. 51, No. 1, Feb 2004, pp. 183-194.
88) Sitao Wu, T. W. S. Chow, Clustering of Self-Organizing-Map Using a Clustering Validity Index Based on Inter-Cluster and Intra-Cluster Density, Pattern Recognition, Vol. 37, No. 2, pp. 175-188, 2004.
89) T. W. S. Chow, Sitao Wu, An Online Cellular Probabilistic Self-Organizing Map for Static and Dynamical Data Sets, IEEE Trans on Circuit and Systems, Part I, Vol. 51, No. 4, April 2004, pp. 732-747.
90) T. W. S. Chow, Sitao Wu, Cell-Splitting Grid: A self-creating and self-organizing Neural Networks, Neurocomputing, Vol.57, Mar. 2004, pp. 373-387.
91) D. Huang, and T. W. S. Chow, A People-Counting system using a Hybrid RBF neural network, Neural Processing Letters, Vol. 18, No. 2, October 2003, pp. 97-113.
92) Sitao Wu, T. W. S. Chow, Self-Organizing-Map Based Clustering Using a Local Clustering Validity Index, Neural Processing letters, Vol. 17, No. 3, June 2003, pp.253-271.
93) T. W. S. Chow, B. Y. Wang, K. T. Ng, Linear Prediction based Multipath Channel Identification Algorithm, IEEE Trans on Circuit and Systems, Part I, Vol. 50, No. 6, June 2003, pp. 769-774.
94) Y. Fang, and T. W. S. Chow, 2-D Analysis for Iterative Learning Controller for Discrete-Time Systems with Variable Initial Conditions, IEEE Trans on Circuit and Systems, Part I, Vol. 50, No. 5, May 2003, pp. 722-727.
95) B. Y. Wang, T. W. S. Chow, K. T. Ng, Adaptive Identification Algorithm for AR System Driven by Chaotic Sequence, International Journal of Bifurcation and Chaos, Vol. 13, No. 4, April 2003, pp. 963-972.
96) T. W. S. Chow, B. Y. Wang, K. T. Ng, An adaptive blind channel identification algorithm based on linear prediction for SIMO FIR systems, IEE Proceedings: Vision, Image & Signal Processing, Vol. 149, No. 4, Aug 2002, pp. 225-230.
97) S. Y. Cho, T. W. S. Chow, A New colour 3D SFS methodology Using Neural based Colour Reflectance Models and Iterative Recursive method, Neurocomputation, Vol. 14, No. 11, Nov 2002, pp. 2751-2789.
98) S. Y. Cho, T. W. S. Chow, K. T. Ng, Shape From Shading by Using Neural Based Colour Reflectance Model, Neural Processing letters, Vol. 16, No. 2, Oct 2002, pp. 121-136.
99) T. W. S. Chow, Sitao Wu, Piecewise Linear Projection Based on Self-Organizing Map, Neural Processing letters, Vol. 16, No. 2, Oct 2002, pp. 151-163.
100) T. W. S. Chow, S. Y. Cho, Industrial Neural vision system for underground railway station platform surveillance, Advanced Engineering Informatics, Vol. 16, No. 1, January 2002, pp. 73-83.
101) C. T. Leung, T. W. S. Chow, Least Third Order Cumulant Method With Adaptive Parameter Regularization Parameter Selection, Artificial Intelligence, Vol. 127, Nov 2001, pp. 169-197.
102) S. Y. Cho, T. W. S. Chow, Enhanced 3D Shape Recovery using neural based hybrid reflectance model, Neurocomputation, Vol. 13, No. 11, Nov 2001, pp. 2617-2637. 103) T.W. S. Chow, S. Y. Cho, J. K. L. Ho, A neural network based shape-from-shading measuring technique for engineering industries, Measurement + Control, Vol. 24, No. 7, Sept 2001, pp.212-215.
104) S. Y. Cho, T. W. S. Chow, Neural computation approach for developing a 3-D shape reconstruction model, IEEE Trans on Neural Networks, Volume: 12 Issue: 5, Sep 2001 pp. 1204 C1214.
105) T.W.S. Chow, Xiao-Dong Li, K. T. Ng, Double Regularization approach for blind restoration of multi-channel imagery, IEEE Trans on Circuit and Systems, Part I, Vol. 48, No. 9, pp. Sept 2001, 1075-1085.
106) S. Y. Cho, T. W. S. Chow, and Y Fang, Training recurrent neural networks using optimization layer-by-layer recursive least squares algorithm for vibration signals system identification and fault diagnostic analysis, Journal of Intelligent Systems, Vol. 11, No. 2, Aug 2001, pp. 125-154.
107) J. Y. F. Yam, T. W. S. Chow, Feedforward networks training speed enhancement by optimal initialisation of the synaptic coefficients, IEEE Trans on Neural Networks, Vol. 2, No. 2, March 2001, pp. 430-434.
108) T. W. S. Chow, Y. Fang, Neural Blind Deconvolution of MIMO Noisy Channels, IEEE Trans on Circuit and Systems, Part I, Vol. 48, No. 1, Jan 2001, pp. 116-120.
109) S. Y. Cho and T. W.S. Chow, A neural learning based reflectance model for 3-D shape reonstruction, IEEE Trans On Industrial Electronics, Vol. 47, No. 6, Dec 2000, pp. 1346-1350.
110) S. Y. Cho and T. W.S. Chow, Learning Parametric Specular Reflectance Model by Radial Basis Function Network, IEEE Trans On Neural Networks, Vol. 11, No. 6, Nov 2000, pp. 1498-1503.
111) T. W. S. Chow, H. Z. Tan, HOS-based nonparametric and parametric methodologies for machine fault detection, IEEE Trans On Industrial Electronics, Vol. 47, No. 5, October 2000, pp. 1051-1059. 112) T. W. S. Chow, J. Feng, K. T. Ng, Chaotic network synchronisation with application to communication, International Journal of Communication Systems, 2001, Vol. 14, pp.217-230.
113) T. W. S. Chow, Y. Fang, Two-dimensional learning strategy for multilayer feedforward neural network, Neurocomputing, Vol. 34, 2000, pp. 195-206.
114) T. W. S. Chow, J. Feng, K. T. Ng, An adaptive demodulator for the chaotic modulation communication system with RBF neural network, IEEE Trans on Circuits and Systems, Part I, Vol. 47, No. 6, pp. 902-909, June 2000.
115) H. Z. Tan, T. W. S. Chow, Blind identification of quadratic nonlinear models using neural networks with higher-order cumulants, IEEE Trans On Industrial Electronics, Vol. 47, No. 3, pp. 687-696, June 2000.
116) T. W. S. Chow, Xiao-Dong Li, Modeling of continuous time dynamical systems with input by recurrent neural networks, IEEE Trans on Circuit and Systems, Part I, Vol 47, Issue. 4 pp. 575-578, April 2000.
117) Y. Fang, T. W. S. Chow, Orthogonal Wavelet neural networks applying to identification of Wiener model, IEEE Trans on Circuit and Systems, Part I, Vol 47, Issue. 4 pp. 591-593, April 2000.
118) T. W. S. Chow, Xiao-Dong Li, Y. Fang, A real-time learning control approach for nonlinear continous-time system using recurrent neural networks, IEEE Trans On Industrial Electronics, Vol. 47, No. 2, April 2000, pp. 478-486.
119) Y. Fang, T. W. S. Chow, Synthesis of the sliding mode neural network controller for unknown nonlinear discrete-time systems, International Journal of Systems Science, Vol 31, No. 31, April 2000, pp. 401-408. 120) T. W. S. Chow, H. Z. Tan, Order-recursive blind identification of linear models using mixed cumulants, IEE Proceedings Vision, Image and Signal Processing , Vol. 147, No. 2, April 2000.
121) S. Y. Cho, T.W. S. Chow, Shape and Surface measurement technology by an improved shape from shading neural algorithm, IEEE Trans On Industrial Electronics, Vol. 47, No. 1, Feb 2000, pp. 225-230. 122) T. W. S. Chow, Xiao-Dong Li, S. Y. Cho, Improved blind image restoration scheme using recurrent filtering, IEE Proceedings Vision, Image and Signal Processing, Vol. 147, No. 1, pp. 23-28, Feb 2000.
123) H. Z. Tan, T. W. S. Chow, Blind and Total Identification of ARMA Models in Higher-order Cumulants Domain, IEEE Trans On Industrial Electronics, Vol 46, No. 6, Dec 1999, pp. 1233-1240.
124) S. Y. Cho, T.W. S. Chow, Shape from shading by a new neural based reflectance model, IEEE Trans On Neural Networks, Vol. 10, No. 6, Nov 1999, pp. 1536-1540.
125) J. Y. F. Yam, T. W. S. Chow, A weight initialization method for improving training speed in feed forward neural network, Neurocomputing, Vol. 30, Issue. 1-4, pp. 219-232, Octo, 1999.
126) S. Y. Cho, T.W. S. Chow, A Fast neural learning vision system for crowd estimation at underground stations platform, Neural Processing letters, vol. 10, no. 2, Oct 1999, pp. 111-120.
127) S. Y. Cho, T.W. S. Chow, C. T. Leung, A Neural based crowd estimation by hybrid global learning algorithm, IEEE Trans on Systems, Man, And Cybernetics, Part B, Vol 29: Part B, Vol. 29, No. 4, Aug 1999, pp. 535-541. 128) T. W. S. Chow, J. Y. F. Yam, S. Y. Cho, Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations, Artificial Intelligence in Engineering, Vol. 13, Issue. 3, July 99, pp. 301-307.
129) H. Z. Tan, Y. Fang, and T. W. S. Chow, Wiener models identification based on the higher-order cumulants and orthogonal wavelet neural networks, International Journal of knowledge-based intelligent engineering systems, Vol. 3, No. 2, 1999, pp.102-107.
130) Y. Fang, T. W. S. Chow, Blind Equalization of a noisy channel by linear network, IEEE Trans on Neural Networks, Vol. 10, No. 4, July 1999, pp. 918-924.
131) Y. Fang, T. W. S. Chow, K. T. Ng, Linear neural network based blind equalization, Signal Processing, volume 76 issue 1, July 99, pp. 37-42.
132) H. Z. Tan, T. W. S. Chow, Recursive scheme for ARMA parameter and order estimation with noisy input-output data, IEE Proceedings Vision, Image and Signal Processing, Vol. 146, No. 2, April 1999, pp. 65-72.
133) C. T. Leung, T. W. S. Chow, Adaptive regularization parameter selection method for enhancing generalization capability of neural networks, Artificial Intelligence, Vol. 107, Issue 2, Feb 1999, pp. 347-356.
134) S. Y. Cho, T. W. S. Chow, A Fast heuristic global learning algorithm for multilayer neural networks, Neural Processing letters, Vol. 9, No. 2, pp. 177-187, April 1999.
135) S. Y. Cho, T. W. S. Chow, Training multilayer neural networks using fast global learning algorithm C Least squares and penalized optimization methods, Neurocomputing, Vol. 25, Issue. 1-3, pp. 115-131, April 1999.
136) Y. Fang, T. W. S. Chow, X. Li, Use of recurrent neural network in discrete sliding mode control, IEE Proceedings on Control Theory and Applications, Vol 146, No. 1, pp. 84-90, Jan 1999.
137) H. Z. Tan, Z. Y. Mao, T. W. S. Chow, Consistent order-recursive identification of ARMA(MA) systems with noisy output cumulants, Journal of Circuits and systems, Vol. 3, No. 4, pp. 50-58, Dec 1998.
138) Y. Fang, T.W.S. Chow, Iterative learning control of linear discrete-time multivarable systems, Automatica, vol. 34, No. 11, pp.1459-1463, Nov 98.
139) T.W.S.Chow, H. Z. Tan, Semi-Blind batch identification of ARMA models via order recursion with higher-order-cumulants alone, IEEE Trans On Industrial Electronics, Vol 45, No. 4, PP. 663-671, Aug 98.
140) H.Z. Tan, Z.Y. Mao, T. W. S. Chow, Blind Identifiability of Truncated Quadratic Nonlinear Models Using Spectra Analyses, Journal of Control Theory and Applications, Vol. 15, No.5, 1998.
141) T. W. S. Chow, Yong Fang, An iterative learning control method for continuous-time based on 2-D system theory, IEEE Trans On Circuits and Systems, Part I, Vol 45, No. 6, pp. 683-689, June 1998.
142) H. Z. Tan, T. W.S.Chow, K.T. Ng, A constrained neural networks based approach for blind identification of quadratic systems, International Journal of Knowledge Based Intelligent Engineering Systems, Vol. 2, No. 2, pp. 111-119, Feb 1998.
143) T.W.S.Chow, Yong Fang, A recurrent Neural Network Based Real-Time Learning Control Strategy Applying to Nonlinear Systems with Unknown Dynamics, IEEE Trans On Industrial Electronics, Vol. 45, No. 1, pp.151-161, Feb, 1998.
144) S.Y.Cho, T. W.S.Chow, A layer-by-layer least squares based recurrent networks training algorithm: Stalling and escape, Neural processing letters, Vol. 7, No. 1, Feb 1998, pp.15-25.
145) T.W.S.Chow, S.Y.Cho, A novel neural based rainfall nowcasting system in Hong Kong, Journal of Intelligent system, Vol 7, Dec 1997, No. 3/ 4.
146) T. W.S.Chow, S.Y.Cho, An accelerated recurrent neural network training algorithm using IIR filter model and recursive least squares method, IEEE Trans on Circuit and Systems, Part I, Vol. 44, No. 11, pp. 1082-1086, November 1997.
147) T.W.S.Chow, Gou Fei, S. Y. Cho, Higher-order based least squares for nonminimum phase systems identification, IEEE Trans on Industrial Electronics, vol. 44, No. 5, October 1997, pp.707-716.
148) T.W.S.Chow, Gou Fei, H.Z Tan, Third-order cumulant RLS Algorithm for ARMA systems identification, Signal Processing, Vol. 61, Issue. 1, Aug 1997, pp. 23-38.
149) S.Y.Cho, T. W.S.Chow, An efficient and stable recurrent neural networks training algorithm for time series forecasting, International Journal of Knowledge Based Intelligent Engineering Systems, Vol 1. No. 3, July 1997, pp. 138-148.
150) C. T. Leung, T.W.S. Chow, A novel noise robust fourth-order cumulants cost function, Neurocomputing, Vol. 16, No. 2, July 1997, PP. 139-147.
151) J.Y.F.Yam, T.W.S.Chow, C.T.Leung, A new method in determining initial weights of feedforward neural networks for training enhancement, Neurocomputing, Vol. 16, No. 1, pp. 23-32, July 1997.
152) T.W.S. Chow, Jin-Yan Li, Higher-order Petri net models based on artificial neural networks, Artificial Intelligence, Vol 92, Issue. 1-2, May 1997, pp. 289-300.
153) J.Y.F.Yam, T.W.S.Chow, Extended least squares based algorithm for training feedforward networks, IEEE Trans on Neural Networks, Vol 8, No. 3. May 1997, pp. 806-810.
154) T.W.S.Chow, Oulian Shuai, Feedforward neural networks based input-output models for railway system identification, Neural processing letters, Vol 5, No. 2, April 1997, pp.127-137.
155) T.W.S. Chow, S.Y.Cho, Development of a Recurrent Sigma-Pi Neural Network Rainfall Forecasting system in Hong Kong, Neural Computing and Applications, Vol 5, No. 2, pp. 66-75, 1997.
156) Jin-Yan Li, T.W.S. Chow, Some comments on the paper Stochastic choice of basis functions in adaptive function approximation and the functional-link net, IEEE Trans on Neural Networks, Vol 8, No.2, pp. 452-454, March 1997.
157) J Y Li, T. W. S. Chow, Functional approximation of higher-order neural networks Journal of Intelligent System, Vol 6, No. 3-4, 1996, pp. 239-260.
158) T. W. S. Chow, C. T Leung, Neural Network based short-term load forecasting using weather compensation, IEEE Trans on Power system, Vol 11, No. 4, pp.1736-1742, Nov 1996.
159) T. W. S. Chow, C. T Leung, A non-linear autoregressive intergrated neural network model for short-term load forecasting, IEE Proceedings Generation, Transmission and Distribution, Vol 143, No 5, pp.500-506, Sept 1996.
160) T.W.S. Chow, C.T.Leung, Performance enhancement using nonlinear preprocessing, IEEE Trans on Neural Networks, Vol. 17, No. 4, pp. 1037-1042, July 1996.
161) T.W. S. Chow, C. T. Leung, Nonlinear dilation network for prediction applications, Engineering Applications of Artificial Intelligence, Vol. 9, No 3, pp.301-308, June 1996.
162) C.T.Leung, T. W. S. Chow, A least third-cumulants objective function, Neural Processing Letters, Vol. 3, No. 2, pp.91-99, June 1996. 163) T.W.S. Chow, Gou Fei, On the identification of non-minimum phase non-Gaussian MA and ARMA models using third-order cumulant" International Journal of Electronics, Vol. 79, No 6, pp.839-852, Dec 1995.
164) T.W.S. Chow, Gou Fei, Three phase induction machines asymmetrical fault identification identification using bispectrum, IEEE Trans on Energy Conversion, Vol. 10, No 4, pp.688-693, Dec 1995.
165) Y.F. Yam, T.W. S. Chow, Accelerated training algorithm for feedforward neural. networks based on least squares method, Neural processing letters, Vol . 2, No. 4, pp.20-25, July 1995
166) Gou Fei, Yu Yinglin, T. W. S. Chow, The dynamic self-feedback neural network for time series identification, Journal of South China University of Technology, Natural Science, Vol.23, No.5 pp. 81-91, May 1995.
167) Y.F. Yam, T.W.S. Chow, Determining initial weights of feedforward neural networks based on least square methods, Neural Processing Letters, Vol. 2, No. 2, pp.13-17, March 1995. 168) T.W.S. Chow, Gou Fei, Recurrent Sigma-Pi-linked back-propagation network, Neural Processing Letters, Vol 1, No.2, pp. 5-8, November 1994.
169) T.W.S. Chow, Y.F. Yam, Measurement and evaluation of instantaneous reactive power using neural networks, IEEE Trans on Power Delivery, Vol 9 NO 3, pp.1253-1260, July 1994.
170) Y.F. Yam, T.W.S. Chow, Extended backpropagation algorithm, IEE Electronics letter, Vol.29, No.19,. 17 Sept 1993.
171) T.W.S. Chow, H.W. Bishop, The Effect of High Current Density And Uneven Current Distribution On A Current Collection Systems, IEEE Trans on Components Hybrids & Manufacturing Technology, Vol 14 No.3 pp.650‑656, Sept 1991.
172) T.W.S. Chow, H.W. Bishop, The Effect of contact temperature on high current density current collection system, Wear, Vol 126, pp.1-15, 1988.