C. Harris

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

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

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

Intelligent Neurofuzzy Control of a Robotic Gripper

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

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 non-linear time series via kernels

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

Comparative Aspects of Neural Network Algorithms for On-Line Modelling of Dynamic Processes

Martin Brown, Chris J. Harris, Sheng Chen, 1993 .

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

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

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).

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

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

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.

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).

A neurofuzzy route to breast cancer diagnosis and treatment

Chris J. Harris, N. A. Bridgett, J. Brandt, 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

Construction and Design of Parsimonious Neurofuzzy Systems

Martin Brown, D. J. Mills, Chris J. Harris, 1995 .

Piecewise Lyapunov stability conditions of fuzzy systems

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

Intelligent identification and control for autonomous guided vehicles using adaptive fuzzy-based algorithms

C. J. Harris, C. G. Moore, C. Harris, 1989 .

Neurofuzzy mixture of experts network parallel learning and model construction algorithms

Chris J. Harris, Xia Hong, C. Harris, 2001 .

Self-tuning and adaptive control: theory and applications

Stephen A. Billings, C. J. Harris, S. Billings, 1981 .

Off-axis multivariable circle stability criterion

C. J. Harris, R. K. Husband, C. Harris, 1981 .

Fault discriminant enhanced kernel principal component analysis incorporating prior fault information for monitoring nonlinear processes

Chris J. Harris, Xiaogang Deng, Sheng Chen, 2017 .

Statistics local fisher discriminant analysis for industrial process fault classification

Sheng Chen, Chris J. Harris, Xuemin Tian, 2016, 2016 UKACC 11th International Conference on Control (CONTROL).

Structure selection of neurofuzzy networks based on support vector regression

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

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..

Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling

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

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

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

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

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

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

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

An orthogonal forward regression technique for sparse kernel density estimation

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

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

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

Training Neurofuzzy Systems

D. J. Mills, Chris J. Harris, C. Harris, 1994, AIRTC.

Construction of Neurofuzzy Models For Imbalanced Data Classification

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

A unified neurofuzzy model for classification

Ming Gao, Chris J. Harris, Xia Hong, 2014, Int. J. Syst. Sci..

Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning

Sheng Chen, Chris J. Harris, Weiming Shao, 2018, IEEE Access.

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..

Blind Equalisation of High-Order QAM Channels Using a Fuzzy-Logic Tuned Constant Modulus Algorithm and Soft Decision-Directed Scheme

Lajos Hanzo, Chris J. Harris, Sheng Chen, 2009 .

VEHICLE DETECTION AND RECOGNITION IN GREYSCALE IMAGERY

Chris J. Harris, P. E. An, N. D. Matthews, 1995 .

Selective ensemble of multiple local model learning for nonlinear and nonstationary systems

Chris J. Harris, Tong Liu, Shan Liang, 2020, Neurocomputing.

A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process

Chris J. Harris, Tong Liu, Shan Liang, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

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.

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.

Analysis of disc brake noise using a two-degree-of-freedom model

Michael J. Brennan, Kihong Shin, Jae-Eung Oh, 2002 .

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.

Neural Networks for Modelling and Control

C. J. Harris, M. Brown, C. Harris, 1994 .

Fuzzy logic based robust servomechanical controller design for nonlinear unknown systems

Hong Wang, C. J. Harris, C. Harris, 1993 .

Advances in Neurofuzzy Algorithms for Real Time Modelling, Control and Estimation

Martin Brown, Chris J. Harris, C. Harris, 1994 .

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

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

Particle swarm optimisation assisted classification using elastic net prefiltering

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

Principal components in time-series modelling

C. Harris, Martin Brown, Martin Brown, 1999, 1999 European Control Conference (ECC).

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.

Neurofuzzy local linearisation for model identification and state estimation of unknown nonlinear processes

C. J. Harris, Q. Gan, C. Harris, 1999 .

A neurofuzzy approach to future intelligent driver support systems

C. J. Harris, Jonathan M. Roberts, P. E. An, 1998 .

Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring

Chris J. Harris, Sheng Chen, Xuemin Tian, 2019, IEEE Transactions on Control Systems Technology.

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

Sheng Chen, Chris J. Harris, Xuemin Tian, 2018, IEEE Transactions on Neural Networks and Learning Systems.

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).

Adaptive Modelling, Estimation and Fusion from Data

Xia Hong, Qiang Gan, Chris Harris, 2002, Advanced Information Processing.

Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series

Sheng Chen, Chris J. Harris, Tong Liu, 2020, IEEE Transactions on Signal Processing.

A Line of Sight Counteraction Navigation Algorithm for Ship Encounter Collision Avoidance

Chris J. Harris, Philip A. Wilson, Xia Hong, 2003, Journal of Navigation.

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.

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).

An order-testing criterion for mixed autoregressive moving average processes

C. J. Harris, Peter Wellstead, C. Harris, 1974 .

Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes

C. Harris, Kai Wang, Sheng Chen, 2022, IEEE Transactions on Cybernetics.

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.

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..

Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate

Xia Hong, Sheng Chen, C. Harris, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

The relevance vector machine technique for channel equalization application

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

Nonlinear Equalization of Hammerstein OFDM Systems

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

On the modelling of nonlinear dynamic systems using support vector neural networks

Chris J. Harris, W. C. Chan, K. C. Cheung, 2001 .

Hybrid Computed Order Tracking

Chris J. Harris, K M Bossley, R J McKendrick, 1999 .

Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes

C. Harris, Sheng Chen, Tong Liu, 2023, Journal of Process Control.

Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression

C. Harris, Shaojun Gan, Kang Li, 2023, IEEE Transactions on Cybernetics.

Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes

Tong Liu, Shan Liang, Sheng Chen, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes

Chris J. Harris, Dajun Du, Tong Liu, 2020 .

Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems

Chris J. Harris, Shan Liang, Tong Liu, 2020, IEEE Access.

Grey-box radial basis function modelling

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

Dimensionality reduction assisted tensor clustering

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

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.

Using zero-norm constraint for sparse probability density function estimation

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

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).

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).

Probability Density Function Estimation Using Orthogonal Forward Regression

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

A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression

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

A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation

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

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).

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

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

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..

Multiple Objective D-optimal Sensor Management for Group Target Tracking

Neil M. White, Scott F. Page, David Bull, 2006 .

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).

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..

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

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

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.

Elastic-Net Prefiltering for Two-Class Classification

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

Teaching Old Sensors New Tricks: Archetypes of Intelligence

N.M. White, C.J. Harris, D. Karatzas, 2007, IEEE Sensors Journal.

The representation of fuzzy algorithms used in adaptive modelling and control schemes

D. J. Mills, C. J. Harris, M. Brown, 1996, Fuzzy Sets Syst..

A comparison between fuzzy, PI and B-spline control

C. J. Harris, C. Harris, P. Constancis, 1992, Proceedings of the 1992 IEEE International Symposium on Intelligent Control.

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization

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

Backward Elimination Methods for Associative Memory Network Pruning

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

Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection

C. Harris, X. Hong, Sheng Chen, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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..

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

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

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

C. Harris, Xiaogang Deng, Xuemin Tian, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels

C. Harris, F. Alsaadi, X. Hong, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier

Sheng Chen, Chris J. Harris, Xia Hong, 2017, IEEE Transactions on Wireless Communications.

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.

A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound

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

Advances in neurofuzzy algorithms for real-time modelling and control

Martin Brown, D. J. Mills, Chris J. Harris, 1996 .

Minimum variance control, estimation and simulation of nonlinear models of wastewater-treatment systems

C. Harris, 1978 .

Modelling, simulation and control of stochastic systems with applications in wastewater treatment

C. J. Harris, C. Harris, 1977 .

The fokker-planck-kolmogorov equation in the analysis of nonlinear feedback stochastic systems

C. Harris, 1972 .

In-Probability Approximation and Simulation of Nonlinear Jump-Diffusion Stochastic Differential Equations

Y. Maghsoodi, C. J. Harris, C. Harris, 1987 .

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.

Neurofuzzy modelling and control of a six degree of freedom AUV

D. J. Mills, C. J. Harris, C. Harris, 1995 .