Fuzzy control & fuzzy systems : W. Pedrycz. - Christopher J. Harris 001 (Autom., 1992)

The interpolation capabilities of the binary CMAC. - Martin Brown 001; Chris J. Harris; Patrick C. Parks (Neural Networks, 1993)

Intelligent Control - Aspects of Fuzzy Logic and Neural Nets - Christopher J. Harris 001; Chris G. Moore; Martin Brown 001 (World Scientific, 1993)

Training Neurofuzzy Systems. - D. J. Mills; Martin Brown 001; Christopher J. Harris 001 (AIRTC, 1994)

Neurocontrol : H. Tolle and E. Ersu. - Christopher J. Harris 001 (Autom., 1994)

A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications. - Martin Brown 001; Christopher J. Harris 001 (Int. J. Neural Syst., 1995)

A global gradient-noise covariance expression for stationary real Gaussian inputs. - Pak Cheung Edgar An; Martin Brown 001; Chris J. Harris (IEEE Trans. Neural Networks, 1995)

Comments on "Learning convergence in the cerebellar model articulation controller". - Martin Brown 001; Chris J. Harris (IEEE Trans. Neural Networks, 1995)

The representation of fuzzy algorithms used in adaptive modelling and control schemes. - Martin Brown 001; D. J. Mills; Christopher J. Harris 001 (Fuzzy Sets Syst., 1996)

Editorial. - Christopher J. Harris 001 (Int. J. Syst. Sci., 1996)

Editorial Intelligent autonomous vehicles. - Christopher J. Harris 001 (Int. J. Syst. Sci., 1996)

Editorial Robotic manipulators. - Christopher J. Harris 001 (Int. J. Syst. Sci., 1996)

One-to-one mapping and its application to neural networks based control systems design. - Hong Wang 001; A. P. Wang; Martin Brown 001; Christopher J. Harris 001 (Int. J. Syst. Sci., 1996)

An intelligent driver warning system for vehicle collision avoidance. - Pak Cheung Edgar An; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part A, 1996)

A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems. - Zhi Qiao Wu; Chris J. Harris (Int. J. Syst. Sci., 1997)

On the convergence rate performance of the normalized least-mean-square adaptation. - Pak Cheung Edgar An; Martin Brown 001; Chris J. Harris (IEEE Trans. Neural Networks, 1997)

Comparing Different Template Features for Recognizing People by their Gait. - Ping S. Huang; Chris J. Harris; Mark S. Nixon (BMVC, 1998)

A Statistical Approach for Recognizing Humans by Gait using Spatial-Temporal Templates. - Ping S. Huang; Chris J. Harris; Mark S. Nixon (ICIP (3), 1998)

Recognizing humans by gait using a statistical approach for temporal templates. - Ping S. Huang; Chris J. Harris; Mark S. Nixon (SMC, 1998)

Adaptive neurofuzzy control for a class of state-dependent nonlinear processes. - M. Feng; Chris J. Harris (Int. J. Syst. Sci., 1998)

Adaptive Neural Network Control of Robotic Manipulators - Shuzhi Sam Ge; Tong Heng Lee; Christopher J. Harris 001 (World Scientific, 1998)

Principal components in time-series modelling. - Derek W. Long; Martin Brown 001; Christopher J. Harris 001 (ECC, 1999)

Recognising humans by gait via parametric canonical space. - Ping S. Huang; Chris J. Harris; Mark S. Nixon (Artif. Intell. Eng., 1999)

Neurofuzzy identification of an autonomous underwater vehicle. - Kev M. Bossley; Martin Brown 001; Christopher J. Harris 001 (Int. J. Syst. Sci., 1999)

Fuzzy local linearization and local basis function expansion in nonlinear system modeling. - Qiang Gan 001; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. - Qiang Gan 001; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines. - Sheng Chen 001; Chris J. Harris (ICASSP, 2000)

The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal. - Simon Feraday; Chris J. Harris; Kihong Shin; Mike Brennan; Malcolm Lindsay (IEA/AIE, 2000)

Indirect tuning of membership function in a fixed fuzzy structure for efficient control of a DC drive system. - Jitendriya K. Satapathy; Susmita Das; Chris J. Harris; Pradeep Misra (SMC, 2000)

Statistical Gait Description via Temporal Moments. - Jamie D. Shutler; Mark S. Nixon; Chris J. Harris (SSIAI, 2000)

Editor's Letter. - Chris J. Harris (Int. J. Syst. Sci., 2000)

Adaptive linear finite-element method for modelling nonlinear dynamic systems. - Chris J. Harris; Junbin Gao (Int. J. Syst. Sci., 2000)

Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. - Xia Hong 001; Christopher J. Harris 001 (IEEE Trans. Neural Networks Learn. Syst., 2000)

A pseudo-adaptive fuzzy controller using hybrid T-operator concept. - Jitendriya K. Satapathy; Christopher J. Harris 001 (ISCAS (3), 2001)

Feedback stabilization of fuzzy systems via linear matrix inequalities. - M. Feng; Chris J. Harris (Int. J. Syst. Sci., 2001)

State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. - Chris J. Harris; Qiang Gan 001 (Inf. Fusion, 2001)

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. - Junbin Gao; Chris J. Harris; Steve R. Gunn (Neural Comput., 2001)

Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. - Xia Hong 001; Chris J. Harris (IEEE Trans. Fuzzy Syst., 2001)

The relevance vector machine technique for channel equalization application. - Sheng Chen 001; Steve R. Gunn; Chris J. Harris (IEEE Trans. Neural Networks, 2001)

A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. - Qiang Gan 001; Chris J. Harris (IEEE Trans. Neural Networks, 2001)

Nonlinear model structure detection using optimum experimental design and orthogonal least squares. - Xia Hong 001; Chris J. Harris (IEEE Trans. Neural Networks, 2001)

Piecewise Lyapunov stability conditions of fuzzy systems. - M. Feng; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach - Chris J. Harris; Xia Hong 001; Qiang Gan 001 (Springer, 2002)

Extraction and Description of Moving Human Body by Periodic Motion Analysis. - Jang-Hee Yoo; Mark S. Nixon; Chris J. Harris (CATA, 2002)

Model-driven statistical analysis of human gait motion. - Jang-Hee Yoo; Mark S. Nixon; Chris J. Harris (ICIP (1), 2002)

Extracting Human Gait Signatures by Body Segment Properties. - Jang-Hee Yoo; Mark S. Nixon; Chris J. Harris (SSIAI, 2002)

A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. - Xia Hong 001; Chris J. Harris (Appl. Intell., 2002)

Structure selection of neurofuzzy networks based on support vector regression. - C. W. Chan; W. C. Chan; A. W. Jayawardena; Christopher J. Harris 001 (Int. J. Syst. Sci., 2002)

Identification of non-linear time series via kernels. - Tony J. Dodd; Christopher J. Harris 001 (Int. J. Syst. Sci., 2002)

Some remarks on Kalman filters for the multisensor fusion. - Junbin Gao; Chris J. Harris (Inf. Fusion, 2002)

A Probabilistic Framework for SVM Regression and Error Bar Estimation. - Junbin Gao; Steve R. Gunn; Chris J. Harris; Martin Brown 001 (Mach. Learn., 2002)

Errata to "The relevance vector machine technique for channel equalization application". - Sheng Chen 001; Steve R. Gunn; Chris J. Harris (IEEE Trans. Neural Networks, 2002)

Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. - Xia Hong 001; Chris J. Harris (IEEE Trans. Neural Networks, 2002)

Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance. - Chris J. Harris (KES, 2003)

Mean field method for the support vector machine regression. - Junbin Gao; Steve R. Gunn; Chris J. Harris (Neurocomputing, 2003)

SVM regression through variational methods and its sequential implementation. - Junbin Gao; Steve R. Gunn; Chris J. Harris (Neurocomputing, 2003)

Experimental design and model construction algorithms for radial basis function networks. - Xia Hong 001; Chris J. Harris (Int. J. Syst. Sci., 2003)

Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IEEE Trans. Autom. Control., 2003)

A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition. - Xia Hong 001; Chris J. Harris (IEEE Trans. Fuzzy Syst., 2003)

Adaptive neural network control for robotic manipulators [Book Review]. - Shuzhi Sam Ge; Tong Heng Lee; Christopher J. Harris 001 (IEEE Trans. Robotics Autom., 2003)

Robust nonlinear model identification methods using forward regression. - Xia Hong 001; Chris J. Harris; Sheng Chen 001; Paul M. Sharkey (IEEE Trans. Syst. Man Cybern. Part A, 2003)

Kernel Density Construction Using Orthogonal Forward Regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IDEAL, 2004)

Adaptive neurofuzzy control of a robotic gripper with external disturbances. - Jorge Axel Domínguez-López; Richard M. Crowder; Robert I. Damper; Christopher J. Harris 001 (SMC (4), 2004)

Backward Elimination Methods for Associative Memory Network Pruning. - Xia Hong 001; Chris J. Harris; Martin Brown 001; Sheng Chen 001 (Int. J. Hybrid Intell. Syst., 2004)

Adaptive neurofuzzy control of a robotic gripper with on-line machine learning. - Jorge Axel Domínguez-López; Robert I. Damper; Richard M. Crowder; Christopher J. Harris 001 (Robotics Auton. Syst., 2004)

Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. - Sheng Chen 001; Xia Hong 001; Chris J. Harris; Paul M. Sharkey (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality. - Xia Hong 001; Chris J. Harris; Sheng Chen 001 (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Sparse Generalized Kernel Modeling for Nonlinear Systems. - Sheng Chen 001; Xia Hong 001; Xunxian Wang; Christopher J. Harris 001 (CDC/ECC, 2005)

Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (ICIC (1), 2005)

A Search Algorithm for Global Optimisation. - Sheng Chen 001; Xunxian Wang; Chris J. Harris (ICNC (2), 2005)

Identification of nonlinear systems using generalized kernel models. - Sheng Chen 001; Xia Hong 001; Chris J. Harris; Xunxian Wang (IEEE Trans. Control. Syst. Technol., 2005)

Experiments with repeating weighted boosting search for optimization signal processing applications. - Sheng Chen 001; Xunxian Wang; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Intelligent Neurofuzzy Control of a Robotic Gripper. - Jorge Axel Domínguez-López; Robert I. Damper; Richard M. Crowder; Christopher J. Harris 001 (Innovations in Robot Mobility and Control, 2005)

Adaptive horizon model predictive control based sensor management for multi-target tracking. - Scott F. Page; Alexander N. Dolia; Christopher J. Harris 001; Neil M. White (ACC, 2006)

The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces. - Alexander N. Dolia; Tijl De Bie; Christopher J. Harris 001; John Shawe-Taylor; D. M. Titterington (ECML, 2006)

Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (ICIC (1), 2006)

Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. - Sheng Chen 001; Chris J. Harris; Xia Hong 001 (IJCNN, 2006)

Using the correlation criterion to position and shape RBF units for incremental modelling. - Xunxian Wang; Sheng Chen 001; Chris J. Harris (Int. J. Autom. Comput., 2006)

Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model. - Xunxian Wang; David Lowe 001; Sheng Chen 001; Chris J. Harris (Int. J. Model. Identif. Control., 2006)

Sparse support vector regression based on orthogonal forward selection for the generalised kernel model. - Xunxian Wang; Sheng Chen 001; David Lowe 001; Chris J. Harris (Neurocomputing, 2006)

Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. - Sheng Chen 001; Xunxian Wang; Xia Hong 001; Chris J. Harris (IEEE Trans. Neural Networks, 2006)

A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (ICIC (3), 2007)

Sparse Kernel Modelling: A Unified Approach. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IDEAL, 2007)

Probability Density Function Estimation Using Orthogonal Forward Regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2007)

Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems. - Sheng Chen 001; Andreas Wolfgang; Chris J. Harris; Lajos Hanzo (IJCNN, 2007)

Kernel ellipsoidal trimming. - Alexander N. Dolia; Christopher J. Harris 001; John Shawe-Taylor; D. Mike Titterington (Comput. Stat. Data Anal., 2007)

A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks, 2007)

Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2008)

Fully complex-valued radial basis function networks for orthogonal least squares regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2008)

Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems. - Sheng Chen 001; Chris J. Harris; Lajos Hanzo (IJCNN, 2008)

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification. - Sheng Chen 001; Xia Hong 001; Chris J. Harris; Lajos Hanzo (Neurocomputing, 2008)

An orthogonal forward regression technique for sparse kernel density estimation. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (Neurocomputing, 2008)

A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (Int. J. Syst. Sci., 2008)

Model selection approaches for non-linear system identification: a review. - Xia Hong 001; Richard J. Mitchell 001; Sheng Chen 001; Chris J. Harris; Kang Li 002; George W. Irwin (Int. J. Syst. Sci., 2008)

Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming. - Sheng Chen 001; Andreas Wolfgang; Chris J. Harris; Lajos Hanzo (Neural Networks, 2008)

NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting. - Sheng Chen 001; Xunxian Wang; Chris J. Harris (IEEE Trans. Control. Syst. Technol., 2008)

Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems. - Sheng Chen 001; Andreas Wolfgang; Chris J. Harris; Lajos Hanzo (IEEE Trans. Neural Networks, 2008)

A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks, 2008)

A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks, 2008)

A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. - Sheng Chen 001; Xia Hong 001; Bing Lam Luk; Chris J. Harris (CDC, 2009)

Non-linear system identification using particle swarm optimisation tuned radial basis function models. - Sheng Chen 001; Xia Hong 001; Bing Lam Luk; Chris J. Harris (Int. J. Bio Inspired Comput., 2009)

Orthogonal-least-squares regression: A unified approach for data modelling. - Sheng Chen 001; Xia Hong 001; Bing Lam Luk; Chris J. Harris (Neurocomputing, 2009)

Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection. - Sheng Chen 001; Xia Hong 001; Bing Lam Luk; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2010)

Sparse kernel density estimation technique based on zero-norm constraint. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2010)

Fuzzy-logic tuned constant modulus algorithm and soft decision-directed scheme for blind equalisation. - Sheng Chen 001; Bing Lam Luk; Chris J. Harris; Lajos Hanzo (Digit. Signal Process., 2010)

Regression based D-optimality experimental design for sparse kernel density estimation. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (Neurocomputing, 2010)

Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IEEE Trans. Evol. Comput., 2010)

Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 2010)

On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. - Ming Gao 003; Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2011)

Grey-box radial basis function modelling. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (Neurocomputing, 2011)

A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. - Ming Gao 003; Xia Hong 001; Sheng Chen 001; Chris J. Harris (Neurocomputing, 2011)

Probability density function estimation based over-sampling for imbalanced two-class problems. - Ming Gao 003; Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2012)

Modelling and inverting complex-valued wiener systems. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2012)

A neurofuzzy classifier for two class problems. - Ming Gao 003; Xia Hong 001; Chris J. Harris (UKCI, 2012)

Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation. - Scott F. Page; Sheng Chen 001; Chris J. Harris; Neil M. White (Appl. Soft Comput., 2012)

Using zero-norm constraint for sparse probability density function estimation. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (Int. J. Syst. Sci., 2012)

Particle swarm optimisation assisted classification using elastic net prefiltering. - Xia Hong 001; Junbin Gao; Sheng Chen 001; Chris J. Harris (Neurocomputing, 2013)

Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm. - Sheng Chen 001; Xia Hong 001; Yu Gong; Chris J. Harris (IEEE Trans. Circuits Syst. I Regul. Pap., 2013)

Elastic-Net Prefiltering for Two-Class Classification. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Cybern., 2013)

On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2014)

B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2014)

Dimensionality reduction assisted tensor clustering. - Yanfeng Sun; Junbin Gao; Xia Hong 001; Yi Guo 001; Chris J. Harris (IJCNN, 2014)

PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. - Ming Gao 003; Xia Hong 001; Sheng Chen 001; Chris J. Harris; Emad Khalaf (Neurocomputing, 2014)

Fast identification algorithms for Gaussian process model. - Xia Hong 001; Junbin Gao; Xinwei Jiang; Chris J. Harris (Neurocomputing, 2014)

A unified neurofuzzy model for classification. - Ming Gao 003; Xia Hong 001; Chris J. Harris (Int. J. Syst. Sci., 2014)

Construction of Neurofuzzy Models For Imbalanced Data Classification. - Ming Gao 003; Xia Hong 001; Chris J. Harris (IEEE Trans. Fuzzy Syst., 2014)

Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. - Sheng Chen 001; Xia Hong 001; Junbin Gao; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2014)

Nonlinear Equalization of Hammerstein OFDM Systems. - Xia Hong 001; Sheng Chen 001; Yu Gong; Chris J. Harris (IEEE Trans. Signal Process., 2014)

Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks. - Xia Hong 001; Sheng Chen 001; Chris J. Harris; Emad Khalaf (IEEE Trans. Signal Process., 2014)

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. - Xia Hong 001; Sheng Chen 001; Junbin Gao; Chris J. Harris (IEEE Trans. Cybern., 2015)

Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. - Sheng Chen 001; Xia Hong 001; Emad Khalaf; Fuad E. Alsaadi; Chris J. Harris (IJCNN, 2016)

Deep learning based nonlinear principal component analysis for industrial process fault detection. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IJCNN, 2017)

Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels. - Sheng Chen 001; Xia Hong 001; Emad Khalaf; Fuad E. Alsaadi; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2017)

Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier. - Sheng Chen 001; Xia Hong 001; Emad Khalaf; Ali Morfeq; Naif D. Alotaibi; Chris J. Harris (IEEE Trans. Wirel. Commun., 2017)

Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning. - Weiming Shao; Sheng Chen 001; Chris J. Harris (IEEE Access, 2018)

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. - Tong Liu 014; Shan Liang; Sheng Chen 001; Chris J. Harris (IJCNN, 2019)

Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IEEE Trans. Control. Syst. Technol., 2019)

Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems. - Tong Liu 014; Sheng Chen 001; Shan Liang; Chris J. Harris (IEEE Access, 2020)

Selective ensemble of multiple local model learning for nonlinear and nonstationary systems. - Tong Liu 014; Sheng Chen 001; Shan Liang; Chris J. Harris (Neurocomputing, 2020)

Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series. - Tong Liu 014; Sheng Chen 001; Shan Liang; Shaojun Gan; Chris J. Harris (IEEE Trans. Signal Process., 2020)

Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes. - Tong Liu 014; Sheng Chen 001; Shan Liang; Shaojun Gan; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes. - Tong Liu 014; Zeyue Tian; Sheng Chen 001; Kai Wang 003; Chris J. Harris (IEEE Trans. Cybern., 2023)

Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. - Tong Liu 014; Sheng Chen 001; Kang Li 002; Shaojun Gan; Chris J. Harris (IEEE Trans. Cybern., 2023)

Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. - Tong Liu 014; Sheng Chen 001; Po Yang 001; Yunpeng Zhu; Mehmet Mercangöz; Chris J. Harris (IEEE Trans. Control. Syst. Technol., 2024)

Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. - Tong Liu 014; Xulong Wang 001; Po Yang 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Knowl. Data Eng., 2024)