Xunxian Wang

15 papers C 3Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2008 J jnl
NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting.
IEEE Trans. Control. Syst. Technol.
Sheng Chen, Xunxian Wang, Chris J. Harris
2006 J jnl
Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure.
IEEE Trans. Neural Networks
Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris
2006 J jnl
Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model.
Int. J. Model. Identif. Control.
Xunxian Wang, David Lowe, Sheng Chen, Chris J. Harris
2006 J jnl
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model.
Neurocomputing
Xunxian Wang, Sheng Chen, David Lowe, Chris J. Harris
2006 J jnl
Using the correlation criterion to position and shape RBF units for incremental modelling.
Int. J. Autom. Comput.
Xunxian Wang, Sheng Chen, Chris J. Harris
2005 — conf
A Search Algorithm for Global Optimisation.
ICNC (2)
Sheng Chen, Xunxian Wang, Chris J. Harris
2005 J jnl
Experiments with repeating weighted boosting search for optimization signal processing applications.
IEEE Trans. Syst. Man Cybern. Part B
Sheng Chen, Xunxian Wang, Chris J. Harris
2005 J jnl
Identification of nonlinear systems using generalized kernel models.
IEEE Trans. Control. Syst. Technol.
Sheng Chen, Xia Hong, Chris J. Harris, Xunxian Wang
2005 — conf
Sparse Generalized Kernel Modeling for Nonlinear Systems.
CDC/ECC
Sheng Chen, Xia Hong, Xunxian Wang, Christopher J. Harris
2004 J jnl
An approach for constructing parsimonious generalized Gaussian kernel regression models.
Neurocomputing
Xunxian Wang, Sheng Chen, David J. Brown
2004 C conf
Boosting Orthogonal Least Squares Regression..
IDEAL
Xunxian Wang, David J. Brown
2004 C conf
Orthogonal Least Square with Boosting for Regression.
IDEAL
Sheng Chen, Xunxian Wang, David J. Brown
2004 — conf
Segmented neural network modelling using adaboost.
Neural Networks and Computational Intelligence
Lewis Eric Hibell, Xunxian Wang, David J. Brown
2004 — conf
Sigmoid neural network incremental construction by using a boosting method.
Neural Networks and Computational Intelligence
Benjamin J. B. Cannon, David J. Brown, Xunxian Wang
2003 C conf
Incremental Neural Network Construction by Using Correlation as Cost Function.
HIS
Xunxian Wang, David J. Brown