Christopher J. Harris
Orcid: 0000-0002-8504-9043Affiliations:
- Southampton University
According to our database1,
Christopher J. Harris
authored at least 146 papers
between 1992 and 2024.
Collaborative distances:
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Bibliography
2024
Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement.
IEEE Trans. Control. Syst. Technol., March, 2024
2023
Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression.
IEEE Trans. Cybern., December, 2023
Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes.
IEEE Trans. Cybern., 2023
2022
Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., 2022
2020
Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series.
IEEE Trans. Signal Process., 2020
Selective ensemble of multiple local model learning for nonlinear and nonstationary systems.
Neurocomputing, 2020
Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems.
IEEE Access, 2020
2019
Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2019
A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning.
IEEE Access, 2018
2017
Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier.
IEEE Trans. Wirel. Commun., 2017
Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels.
IEEE Trans. Neural Networks Learn. Syst., 2017
Deep learning based nonlinear principal component analysis for industrial process fault detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization.
IEEE Trans. Cybern., 2015
2014
Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks.
IEEE Trans. Signal Process., 2014
IEEE Trans. Signal Process., 2014
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems.
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Fuzzy Syst., 2014
Neurocomputing, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm.
IEEE Trans. Circuits Syst. I Regul. Pap., 2013
Neurocomputing, 2013
2012
Int. J. Syst. Sci., 2012
Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation.
Appl. Soft Comput., 2012
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Probability density function estimation based over-sampling for imbalanced two-class problems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Neurocomputing, 2011
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression.
IEEE Trans. Syst. Man Cybern. Part B, 2010
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling.
IEEE Trans. Evol. Comput., 2010
Regression based D-optimality experimental design for sparse kernel density estimation.
Neurocomputing, 2010
Fuzzy-logic tuned constant modulus algorithm and soft decision-directed scheme for blind equalisation.
Digit. Signal Process., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Neurocomputing, 2009
Non-linear system identification using particle swarm optimisation tuned radial basis function models.
Int. J. Bio Inspired Comput., 2009
A tunable radial basis function model for nonlinear system identification using particle swarm optimisation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
IEEE Trans. Neural Networks, 2008
IEEE Trans. Neural Networks, 2008
IEEE Trans. Neural Networks, 2008
NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting.
IEEE Trans. Control. Syst. Technol., 2008
Neural Networks, 2008
Int. J. Syst. Sci., 2008
A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate.
Int. J. Syst. Sci., 2008
Neurocomputing, 2008
Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification.
Neurocomputing, 2008
Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems.
Proceedings of the International Joint Conference on Neural Networks, 2008
Fully complex-valued radial basis function networks for orthogonal least squares regression.
Proceedings of the International Joint Conference on Neural Networks, 2008
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
IEEE Trans. Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007
2006
Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure.
IEEE Trans. Neural Networks, 2006
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model.
Neurocomputing, 2006
Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model.
Int. J. Model. Identif. Control., 2006
Using the correlation criterion to position and shape RBF units for incremental modelling.
Int. J. Autom. Comput., 2006
Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate.
Proceedings of the International Joint Conference on Neural Networks, 2006
Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate.
Proceedings of the Intelligent Computing, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Adaptive horizon model predictive control based sensor management for multi-target tracking.
Proceedings of the American Control Conference, 2006
2005
Proceedings of the Innovations in Robot Mobility and Control, 2005
Experiments with repeating weighted boosting search for optimization signal processing applications.
IEEE Trans. Syst. Man Cybern. Part B, 2005
IEEE Trans. Control. Syst. Technol., 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes.
Proceedings of the Advances in Intelligent Computing, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
2004
Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality.
IEEE Trans. Syst. Man Cybern. Part B, 2004
Sparse modeling using orthogonal forward regression with PRESS statistic and regularization.
IEEE Trans. Syst. Man Cybern. Part B, 2004
Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization.
IEEE Trans. Syst. Man Cybern. Part B, 2004
Robotics Auton. Syst., 2004
Int. J. Hybrid Intell. Syst., 2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
2003
IEEE Trans. Syst. Man Cybern. Part A, 2003
IEEE Trans. Robotics Autom., 2003
A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition.
IEEE Trans. Fuzzy Syst., 2003
Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design.
IEEE Trans. Autom. Control., 2003
Experimental design and model construction algorithms for radial basis function networks.
Int. J. Syst. Sci., 2003
Neurocomputing, 2003
Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
2002
Nonlinear model structure design and construction using orthogonal least squares and D-optimality design.
IEEE Trans. Neural Networks, 2002
Errata to "The relevance vector machine technique for channel equalization application".
IEEE Trans. Neural Networks, 2002
Mach. Learn., 2002
Int. J. Syst. Sci., 2002
A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control.
Appl. Intell., 2002
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002
Proceedings of the 2002 International Conference on Image Processing, 2002
Extraction and Description of Moving Human Body by Periodic Motion Analysis.
Proceedings of the ISCA 17th International Conference Computers and Their Applications, 2002
Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach
Advanced information processing, Springer, ISBN: 3-540-42686-8, 2002
2001
IEEE Trans. Syst. Man Cybern. Part B, 2001
Nonlinear model structure detection using optimum experimental design and orthogonal least squares.
IEEE Trans. Neural Networks, 2001
A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling.
IEEE Trans. Neural Networks, 2001
IEEE Trans. Neural Networks, 2001
Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks.
IEEE Trans. Fuzzy Syst., 2001
Neural Comput., 2001
State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models.
Inf. Fusion, 2001
Int. J. Syst. Sci., 2001
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001
2000
Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition.
IEEE Trans. Neural Networks Learn. Syst., 2000
Int. J. Syst. Sci., 2000
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000
Indirect tuning of membership function in a fixed fuzzy structure for efficient control of a DC drive system.
Proceedings of the IEEE International Conference on Systems, 2000
The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal.
Proceedings of the Intelligent Problem Solving, 2000
Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines.
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks.
IEEE Trans. Syst. Man Cybern. Part B, 1999
Fuzzy local linearization and local basis function expansion in nonlinear system modeling.
IEEE Trans. Syst. Man Cybern. Part B, 1999
Int. J. Syst. Sci., 1999
Proceedings of the 5th European Control Conference, 1999
1998
World Scientific Series in Robotics and Intelligent Systems 19, World Scientific, ISBN: 978-981-4496-22-3, 1998
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
A Statistical Approach for Recognizing Humans by Gait using Spatial-Temporal Templates.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998
Proceedings of the British Machine Vision Conference 1998, 1998
1997
IEEE Trans. Neural Networks, 1997
A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems.
Int. J. Syst. Sci., 1997
1996
IEEE Trans. Syst. Man Cybern. Part A, 1996
One-to-one mapping and its application to neural networks based control systems design.
Int. J. Syst. Sci., 1996
The representation of fuzzy algorithms used in adaptive modelling and control schemes.
Fuzzy Sets Syst., 1996
1995
IEEE Trans. Neural Networks, 1995
IEEE Trans. Neural Networks, 1995
A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications.
Int. J. Neural Syst., 1995
1994
Proceedings of the Postprint Volume from the IFAC Symposium on Artificial Intelligence in Real-Time Control, 1994
1993
World Scientific Series in Robotics and Intelligent Systems 6, World Scientific, ISBN: 978-981-4505-34-5, 1993
1992