Christopher J. Harris

发表

Editor's Letter

Christopher J. Harris, 2000, Int. J. Syst. Sci..

Adaptive neurofuzzy control of a robotic gripper with on-line machine learning

Richard M. Crowder, Robert I. Damper, Jorge Axel Domínguez-López, 2004, Robotics Auton. Syst..

Identification of nonlinear systems using generalized kernel models

Sheng Chen, Xia Hong, Christopher J. Harris, 2005, IEEE Transactions on Control Systems Technology.

Nonlinear model structure design and construction using orthogonal least squares and D-optimality design

Xia Hong, Christopher J. Harris, C. Harris, 2002, IEEE Trans. Neural Networks.

Adaptive neurofuzzy control of a robotic gripper with external disturbances

Robert I. Damper, Jorge Axel Domínguez-López, Christopher J. Harris, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces

John Shawe-Taylor, Tijl De Bie, D. M. Titterington, 2006, ECML.

Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling

Sheng Chen, Xia Hong, Christopher J. Harris, 2010, IEEE Transactions on Evolutionary Computation.

Grey-box radial basis function modelling

Sheng Chen, Xia Hong, Christopher J. Harris, 2011, Neurocomputing.

Non-linear system identification using particle swarm optimisation tuned radial basis function models

Bing Lam Luk, Sheng Chen, Xia Hong, 2009, Int. J. Bio Inspired Comput..

SVM regression through variational methods and its sequential implementation

Junbin Gao, Steve R. Gunn, Christopher J. Harris, 2003, Neurocomputing.

Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate

Sheng Chen, Xia Hong, Christopher J. Harris, 2006, ICIC.

Probability Density Function Estimation Using Orthogonal Forward Regression

Sheng Chen, Xia Hong, Christopher J. Harris, 2007, 2007 International Joint Conference on Neural Networks.

Construction of Neurofuzzy Models For Imbalanced Data Classification

Xia Hong, Christopher J. Harris, Ming Gao, 2014, IEEE Transactions on Fuzzy Systems.

B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels

Sheng Chen, Xia Hong, Christopher J. Harris, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation

Sheng Chen, Xia Hong, Christopher J. Harris, 2008, IEEE Transactions on Neural Networks.

Fully complex-valued radial basis function networks for orthogonal least squares regression

Sheng Chen, Xia Hong, Christopher J. Harris, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

The relevance vector machine technique for channel equalization application

Sheng Chen, Steve R. Gunn, Christopher J. Harris, 2001, IEEE Trans. Neural Networks.

Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality

Xia Hong, Christopher J. Harris, Sheng Chen, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A Kernel-Based Two-Class Classifier for Imbalanced Data Sets

Sheng Chen, Xia Hong, Christopher J. Harris, 2007, IEEE Transactions on Neural Networks.

Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection

Bing Lam Luk, Sheng Chen, Xia Hong, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems

Lajos Hanzo, Sheng Chen, Christopher J. Harris, 2007, 2007 International Joint Conference on Neural Networks.

Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression

Sheng Chen, Xia Hong, Christopher J. Harris, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes

Sheng Chen, Xia Hong, Christopher J. Harris, 2005, ICIC.

Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks

Sheng Chen, Xia Hong, Christopher J. Harris, 2014, IEEE Transactions on Signal Processing.

Orthogonal-least-squares regression: A unified approach for data modelling

Bing Lam Luk, Sheng Chen, Xia Hong, 2009, Neurocomputing.

Sparse kernel density estimation technique based on zero-norm constraint

Sheng Chen, Xia Hong, Christopher J. Harris, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance

Christopher J. Harris, 2003, KES.

Regression based D-optimality experimental design for sparse kernel density estimation

Sheng Chen, Xia Hong, Christopher J. Harris, 2010, Neurocomputing.

On the convergence rate performance of the normalized least-mean-square adaptation

Martin Brown, Christopher J. Harris, Pak Cheung Edgar An, 1997, IEEE Trans. Neural Networks.

Dimensionality reduction assisted tensor clustering

Junbin Gao, Yanfeng Sun, Xia Hong, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Comparing Different Template Features for Recognizing People by their Gait

Mark S. Nixon, Christopher J. Harris, Ping S. Huang, 1998, BMVC.

Using zero-norm constraint for sparse probability density function estimation

Sheng Chen, Xia Hong, Christopher J. Harris, 2012, Int. J. Syst. Sci..

A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems

Sheng Chen, Xia Hong, Christopher J. Harris, 2011, Neurocomputing.

Robust nonlinear model identification methods using forward regression

Sheng Chen, Xia Hong, Christopher J. Harris, 2003, IEEE Trans. Syst. Man Cybern. Part A.

Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm

Yu Gong, Sheng Chen, Xia Hong, 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

Recognizing humans by gait using a statistical approach for temporal templates

Mark S. Nixon, Christopher J. Harris, Ping S. Huang, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

PDFOS: PDF estimation based over-sampling for imbalanced two-class problems

Sheng Chen, Xia Hong, Christopher J. Harris, 2014, Neurocomputing.

Backward Elimination Methods for Associative Memory Network Pruning

Sheng Chen, Martin Brown, Xia Hong, 2004, Int. J. Hybrid Intell. Syst..

Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach

Xia Hong, Christopher J. Harris, Qiang Gan, 2002, Advanced information processing.

Kernel Density Construction Using Orthogonal Forward Regression

Sheng Chen, Xia Hong, Christopher J. Harris, 2004, IDEAL.

Experiments with repeating weighted boosting search for optimization signal processing applications

Sheng Chen, Christopher J. Harris, Xunxian Wang, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Model selection approaches for non-linear system identification: a review

Sheng Chen, George W. Irwin, Kang Li, 2008, Int. J. Syst. Sci..

Fuzzy control & fuzzy systems : W. Pedrycz

Christopher J. Harris, 1992, Autom..

Editorial Intelligent autonomous vehicles

Christopher J. Harris, 1996, Int. J. Syst. Sci..

Structure selection of neurofuzzy networks based on support vector regression

Christopher J. Harris, C. W. Chan, A. W. Jayawardena, 2002, Int. J. Syst. Sci..

NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting

Sheng Chen, Christopher J. Harris, Xunxian Wang, 2008, IEEE Transactions on Control Systems Technology.

A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition

Xia Hong, Christopher J. Harris, C. Harris, 2003, IEEE Trans. Fuzzy Syst..

A Search Algorithm for Global Optimisation

Sheng Chen, Christopher J. Harris, Xunxian Wang, 2005, ICNC.

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification

Lajos Hanzo, Sheng Chen, Xia Hong, 2008, Neurocomputing.

Editorial Robotic manipulators

Christopher J. Harris, 1996, Int. J. Syst. Sci..

Sparse support vector regression based on orthogonal forward selection for the generalised kernel model

Sheng Chen, Christopher J. Harris, David Lowe, 2006, Neurocomputing.

Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks

Christopher J. Harris, Qiang Gan, C. Harris, 1999, IEEE Trans. Syst. Man Cybern. Part B.

Extracting human gait signatures by body segment properties

Mark S. Nixon, Christopher J. Harris, Jang-Hee Yoo, 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

Fuzzy local linearization and local basis function expansion in nonlinear system modeling

Christopher J. Harris, Qiang Gan, C. Harris, 1999, IEEE Trans. Syst. Man Cybern. Part B.

Indirect tuning of membership function in a fixed fuzzy structure for efficient control of a DC drive system

Susmita Das, Christopher J. Harris, Pradeep Misra, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Nonlinear model structure detection using optimum experimental design and orthogonal least squares

Xia Hong, Christopher J. Harris, C. Harris, 2001, IEEE Trans. Neural Networks.

Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design

Sheng Chen, Xia Hong, Christopher J. Harris, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems

Lajos Hanzo, Sheng Chen, Christopher J. Harris, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control

Xia Hong, Christopher J. Harris, C. Harris, 2001, Applied Intelligence.

Sparse Kernel Modelling: A Unified Approach

Sheng Chen, Xia Hong, Christopher J. Harris, 2007, IDEAL.

A tunable radial basis function model for nonlinear system identification using particle swarm optimisation

Bing Lam Luk, Sheng Chen, Xia Hong, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Identification of non-linear time series via kernels

Tony J. Dodd, Christopher J. Harris, T. Dodd, 2002, Int. J. Syst. Sci..

A global gradient-noise covariance expression for stationary real Gaussian inputs

Martin Brown, Christopher J. Harris, Pak Cheung Edgar An, 1995, IEEE Trans. Neural Networks.

Deep learning based nonlinear principal component analysis for industrial process fault detection

Sheng Chen, Christopher J. Harris, Xuemin Tian, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

An orthogonal forward regression technique for sparse kernel density estimation

Sheng Chen, Xia Hong, Christopher J. Harris, 2008, Neurocomputing.

Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems

Sheng Chen, Junbin Gao, Xia Hong, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Feedback stabilization of fuzzy systems via linear matrix inequalities

Christopher J. Harris, M. Feng, 2001, Int. J. Syst. Sci..

A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound

Sheng Chen, Xia Hong, Christopher J. Harris, 2008, IEEE Transactions on Neural Networks.

Adaptive linear finite-element method for modelling nonlinear dynamic systems

Junbin Gao, Christopher J. Harris, 2000, Int. J. Syst. Sci..

Adaptive Neural Network Control of Robotic Manipulators

Shuzhi Sam Ge, Tong Heng Lee, Christopher J. Harris, 1999, World Scientific Series in Robotics and Intelligent Systems.

Particle swarm optimisation assisted classification using elastic net prefiltering

Sheng Chen, Junbin Gao, Xia Hong, 2013, Neurocomputing.

Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming

Lajos Hanzo, Sheng Chen, Christopher J. Harris, 2008, Neural Networks.

Mean field method for the support vector machine regression

Junbin Gao, Steve R. Gunn, Christopher J. Harris, 2003, Neurocomputing.

A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression

Sheng Chen, Xia Hong, Christopher J. Harris, 2007, ICIC.

Intelligent Control - Aspects of Fuzzy Logic and Neural Nets

Martin Brown, Christopher J. Harris, Chris G. Moore, 1993, World Scientific Series in Robotics and Intelligent Systems.

Statistical gait description via temporal moments

Mark S. Nixon, Christopher J. Harris, Jamie D. Shutler, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design

Sheng Chen, Xia Hong, Christopher J. Harris, 2003, IEEE Trans. Autom. Control..

Intelligent Neurofuzzy Control of a Robotic Gripper

Robert I. Damper, Jorge Axel Domínguez-López, Christopher J. Harris, 2005, Innovations in Robot Mobility and Control.

Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation

Neil M. White, Scott F. Page, Sheng Chen, 2012, Appl. Soft Comput..

Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression

Sheng Chen, Xia Hong, Christopher J. Harris, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Model-driven statistical analysis of human gait motion

Mark S. Nixon, Christopher J. Harris, Jang-Hee Yoo, 2002, Proceedings. International Conference on Image Processing.

Kernel ellipsoidal trimming

John Shawe-Taylor, D. M. Titterington, Christopher J. Harris, 2007, Comput. Stat. Data Anal..

A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems

Christopher J. Harris, Zhi Qiao Wu, 1997, Int. J. Syst. Sci..

Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems

Lajos Hanzo, Sheng Chen, Christopher J. Harris, 2008, IEEE Transactions on Neural Networks.

An intelligent driver warning system for vehicle collision avoidance

Christopher J. Harris, Pak Cheung Edgar An, 1996, IEEE Trans. Syst. Man Cybern. Part A.

Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model

Sheng Chen, Christopher J. Harris, David Lowe, 2006, Int. J. Model. Identif. Control..

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces

Junbin Gao, Steve R. Gunn, Christopher J. Harris, 2001, Neural Computation.

On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers

Sheng Chen, Xia Hong, Christopher J. Harris, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Probability density function estimation based over-sampling for imbalanced two-class problems

Sheng Chen, Xia Hong, Christopher J. Harris, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Errata to "The relevance vector machine technique for channel equalization application"

Sheng Chen, Steve R. Gunn, Christopher J. Harris, 2002, IEEE Trans. Neural Networks.

State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models

Christopher J. Harris, Qiang Gan, C. Harris, 2001, Inf. Fusion.

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization

Sheng Chen, Junbin Gao, Xia Hong, 2015, IEEE Transactions on Cybernetics.

Elastic-Net Prefiltering for Two-Class Classification

Sheng Chen, Xia Hong, Christopher J. Harris, 2013, IEEE Transactions on Cybernetics.

The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal

Christopher J. Harris, Mike Brennan, Kihong Shin, 2000, IEA/AIE.

Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems

Fuad E. Alsaadi, Sheng Chen, Xia Hong, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks

Xia Hong, Christopher J. Harris, 2001, IEEE Trans. Fuzzy Syst..

A statistical approach for recognizing humans by gait using spatial-temporal templates

Mark S. Nixon, Christopher J. Harris, Ping S. Huang, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Some remarks on Kalman filters for the multisensor fusion

Junbin Gao, Christopher J. Harris, C. Harris, 2002, Inf. Fusion.

A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling

Christopher J. Harris, Qiang Gan, C. Harris, 2001, IEEE Trans. Neural Networks.

Piecewise Lyapunov stability conditions of fuzzy systems

Christopher J. Harris, M. Feng, C. Harris, 2001, IEEE Trans. Syst. Man Cybern. Part B.

Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines

Sheng Chen, Christopher J. Harris, C. Harris, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Recognising humans by gait via parametric canonical space

Mark S. Nixon, Christopher J. Harris, Ping S. Huang, 1999, Artif. Intell. Eng..

Experimental design and model construction algorithms for radial basis function networks

Xia Hong, Christopher J. Harris, 2003, Int. J. Syst. Sci..

A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate

Sheng Chen, Xia Hong, Christopher J. Harris, 2008, Int. J. Syst. Sci..

Modelling and inverting complex-valued wiener systems

Sheng Chen, Xia Hong, Christopher J. Harris, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition

Xia Hong, Christopher J. Harris, 2000, IEEE Trans. Neural Networks Learn. Syst..

Comments on "Learning convergence in the cerebellar model articulation controller"

Martin Brown, Christopher J. Harris, 1995, IEEE Trans. Neural Networks.

Nonlinear Equalization of Hammerstein OFDM Systems

Yu Gong, Sheng Chen, Xia Hong, 2014, IEEE Transactions on Signal Processing.

Editorial

Christopher J. Harris, 1996, Int. J. Syst. Sci..

Extraction and Description of Moving Human Body by Periodic Motion Analysis

Mark S. Nixon, Christopher J. Harris, Jang-Hee Yoo, 2002, Computers and Their Applications.

Adaptive neural network control for robotic manipulators [Book Review]

Shuzhi Sam Ge, Tong Heng Lee, Christopher J. Harris, 2003, IEEE Transactions on Robotics and Automation.

Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization

Sheng Chen, Xia Hong, Christopher J. Harris, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Sparse modeling using orthogonal forward regression with PRESS statistic and regularization

Sheng Chen, Xia Hong, Christopher J. Harris, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure

Sheng Chen, Xia Hong, Christopher J. Harris, 2006, IEEE Transactions on Neural Networks.

A Probabilistic Framework for SVM Regression and Error Bar Estimation

Junbin Gao, Martin Brown, Steve R. Gunn, 2002, Machine Learning.

A pseudo-adaptive fuzzy controller using hybrid T-operator concept

Christopher J. Harris, J. K. Satapathy, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

A neurofuzzy classifier for two class problems

Xia Hong, Christopher J. Harris, Ming Gao, 2012, 2012 12th UK Workshop on Computational Intelligence (UKCI).

Fuzzy-logic tuned constant modulus algorithm and soft decision-directed scheme for blind equalisation

Lajos Hanzo, Bing Lam Luk, Sheng Chen, 2010, Digit. Signal Process..

On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems

Sheng Chen, Xia Hong, Christopher J. Harris, 2011, The 2011 International Joint Conference on Neural Networks.

A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications

Martin Brown, Christopher J. Harris, 1995, Int. J. Neural Syst..