Incremental Neural Network Construction by Using Correlation as Cost Function. - Xunxian Wang; David J. Brown 002 (HIS, 2003)

Orthogonal Least Square with Boosting for Regression. - Sheng Chen 001; Xunxian Wang; David J. Brown 002 (IDEAL, 2004)

Boosting Orthogonal Least Squares Regression.. - Xunxian Wang; David J. Brown 002 (IDEAL, 2004)

Sigmoid neural network incremental construction by using a boosting method. - Benjamin J. B. Cannon; David J. Brown 002; Xunxian Wang (Neural Networks and Computational Intelligence, 2004)

Segmented neural network modelling using adaboost. - Lewis Eric Hibell; Xunxian Wang; David J. Brown 002 (Neural Networks and Computational Intelligence, 2004)

An approach for constructing parsimonious generalized Gaussian kernel regression models. - Xunxian Wang; Sheng Chen 001; David J. Brown 002 (Neurocomputing, 2004)

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

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)

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)