Xunxian Wang

Publication Activity (10 Years)

Years Active: 2003-2008
Publications (10 Years): 0

Publications

Sheng Chen, Xunxian Wang, Chris J. Harris
NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting. IEEE Trans. Control. Syst. Technol. 16 (1) (2008)
Xunxian Wang, Sheng Chen, Chris J. Harris
Using the correlation criterion to position and shape RBF units for incremental modelling. Int. J. Autom. Comput. 3 (4) (2006)
Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris
Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. IEEE Trans. Neural Networks 17 (6) (2006)
Xunxian Wang, David Lowe, Sheng Chen, Chris J. Harris
Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model. Int. J. Model. Identif. Control. 1 (4) (2006)
Xunxian Wang, Sheng Chen, David Lowe, Chris J. Harris
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model. Neurocomputing 70 (1-3) (2006)
Sheng Chen, Xunxian Wang, Chris J. Harris
A Search Algorithm for Global Optimisation. ICNC (2) (2005)
Sheng Chen, Xia Hong, Xunxian Wang, Christopher J. Harris
Sparse Generalized Kernel Modeling for Nonlinear Systems. CDC/ECC (2005)
Sheng Chen, Xia Hong, Chris J. Harris, Xunxian Wang
Identification of nonlinear systems using generalized kernel models. IEEE Trans. Control. Syst. Technol. 13 (3) (2005)
Sheng Chen, Xunxian Wang, Chris J. Harris
Experiments with repeating weighted boosting search for optimization signal processing applications. IEEE Trans. Syst. Man Cybern. Part B 35 (4) (2005)
Xunxian Wang, David J. Brown
Boosting Orthogonal Least Squares Regression.. IDEAL (2004)
Xunxian Wang, Sheng Chen, David J. Brown
An approach for constructing parsimonious generalized Gaussian kernel regression models. Neurocomputing 62 (2004)
Benjamin J. B. Cannon, David J. Brown, Xunxian Wang
Sigmoid neural network incremental construction by using a boosting method. Neural Networks and Computational Intelligence (2004)
Lewis Eric Hibell, Xunxian Wang, David J. Brown
Segmented neural network modelling using adaboost. Neural Networks and Computational Intelligence (2004)
Sheng Chen, Xunxian Wang, David J. Brown
Orthogonal Least Square with Boosting for Regression. IDEAL (2004)
Xunxian Wang, David J. Brown
Incremental Neural Network Construction by Using Correlation as Cost Function. HIS (2003)