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2000 – 2009
- 2008
[j8]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): 78-84 (2008)- 2006
- [j7]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): 392-403 (2006) - [j6]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): 245-256 (2006) - [j5]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): 462-474 (2006) - [j4]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): 1652-1656 (2006) - 2005
- [j3]Sheng Chen, Xia Hong, Chris J. Harris, Xunxian Wang:
Identification of nonlinear systems using generalized kernel models. IEEE Trans. Control. Syst. Technol. 13(3): 401-411 (2005) - [j2]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): 682-693 (2005) - [c7]Sheng Chen, Xia Hong, Xunxian Wang, Christopher J. Harris:
Sparse Generalized Kernel Modeling for Nonlinear Systems. CDC/ECC 2005: 2574-2579 - [c6]Sheng Chen, Xunxian Wang, Chris J. Harris:
A Search Algorithm for Global Optimisation. ICNC (2) 2005: 1122-1130 - 2004
- [j1]Xunxian Wang, Sheng Chen, David J. Brown:
An approach for constructing parsimonious generalized Gaussian kernel regression models. Neurocomputing 62: 441-457 (2004) - [c5]Sheng Chen, Xunxian Wang, David J. Brown:
Orthogonal Least Square with Boosting for Regression. IDEAL 2004: 593-599 - [c4]Xunxian Wang, David J. Brown:
Boosting Orthogonal Least Squares Regression.. IDEAL 2004: 678-683 - [c3]Lewis Eric Hibell, Xunxian Wang, David J. Brown:
Segmented neural network modelling using adaboost. Neural Networks and Computational Intelligence 2004: 13-18 - [c2]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: 216-221 - 2003
- [c1]Xunxian Wang, David J. Brown:
Incremental Neural Network Construction by Using Correlation as Cost Function. HIS 2003: 22-31
Coauthor Index
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