Xunxian Wang

According to our database, Xunxian Wang authored at least 15 papers between 2003 and 2008.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2008

NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting.

Sheng Chen, Xunxian Wang, Chris J. Harris

IEEE Trans. Control. Syst. Technol., 2008

2006

Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure.

Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris

IEEE Trans. Neural Networks, 2006

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

Xunxian Wang, Sheng Chen, David Lowe, Chris J. Harris

Neurocomputing, 2006

Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model.

Xunxian Wang, David Lowe, Sheng Chen, Chris J. Harris

Int. J. Model. Identif. Control., 2006

Using the correlation criterion to position and shape RBF units for incremental modelling.

Xunxian Wang, Sheng Chen, Chris J. Harris

Int. J. Autom. Comput., 2006

2005

Experiments with repeating weighted boosting search for optimization signal processing applications.

Sheng Chen, Xunxian Wang, Chris J. Harris

IEEE Trans. Syst. Man Cybern. Part B, 2005

Identification of nonlinear systems using generalized kernel models.

Sheng Chen, Xia Hong, Chris J. Harris, Xunxian Wang

IEEE Trans. Control. Syst. Technol., 2005

A Search Algorithm for Global Optimisation.

Sheng Chen, Xunxian Wang, Chris J. Harris

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Sparse Generalized Kernel Modeling for Nonlinear Systems.

Sheng Chen, Xia Hong, Xunxian Wang, Christopher J. Harris

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

An approach for constructing parsimonious generalized Gaussian kernel regression models.

Xunxian Wang, Sheng Chen, David J. Brown

Neurocomputing, 2004

Segmented neural network modelling using adaboost.

Lewis Eric Hibell, Xunxian Wang, David J. Brown

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Sigmoid neural network incremental construction by using a boosting method.

Benjamin J. B. Cannon, David J. Brown, Xunxian Wang

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Boosting Orthogonal Least Squares Regression..

Xunxian Wang, David J. Brown

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Orthogonal Least Square with Boosting for Regression.

Sheng Chen, Xunxian Wang, David J. Brown

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003

Incremental Neural Network Construction by Using Correlation as Cost Function.

Xunxian Wang, David J. Brown

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003