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D. L. Yu and J. B. Gomm
Book Chapter
Adaptive Pseudo Linear RBF Model for Process Control
Ding-Wen Yu and Ding-Li Yu
Lecture Notes in Computer Science, 2006, Volume 3972, Advances in Neural Networks - ISNN 2006, Pages 1013-1018
Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model
Ding-Li Yu and Dingwen Yu
Lecture Notes in Computer Science, 2005, Volume 3498, Advances in Neural Networks – ISNN 2005, Page 984
Journal Article
A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks
D.L. Yu, J.B. Gomm and D. Williams
Neural Processing Letters, 1997, Volume 5, Number 3, Pages 167-176
A Localized Forgetting Method for Gaussian RBFN Model Adaptation
D. L. Yu
Neural Processing Letters, 2004, Volume 20, Number 2, Pages 125-135
Fault Diagnosis with Enhanced Neural Network Modelling
Ding-Li Yu and Thoon-Khin Chang
Lecture Notes in Computer Science, 2006, Volume 3973, Advances in Neural Networks - ISNN 2006, Pages 358-363
A study of evolution strategy based cooperative behavior in collective agents
Malrey Lee
Artificial Intelligence Review, 2006, Volume 25, Number 3, Pages 195-209
Ball Mill Load Measurement Using Self-adaptive Feature Extraction Method and LS-SVM Model
Gangquan Si, Hui Cao, Yanbin Zhang and Lixin Jia
Lecture Notes in Computer Science, 2008, Volume 5226, Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Pages 275-284
A new structure adaptation algorithm for RBF networks and its application
D. L. Yu and D. W. Yu
Neural Computing & Applications, 2007, Volume 16, Number 1, Pages 91-100
A Process Application Of Step-Wise Safe Switching Control
F. N. Koumboulis and M. P. Tzamtzi
2008, Novel Algorithms and Techniques In Telecommunications, Automation and Industrial Electronics, Pages 163-167
Approximate μ-Bases of Rational Curves and Surfaces
Liyong Shen, Falai Chen, Bert Jüttler and Jiansong Deng
Lecture Notes in Computer Science, 2006, Volume 4077, Geometric Modeling and Processing - GMP 2006, Pages 175-188
Key words: MIMO chemical systems; Neural network modelling; Nonlinear system identification; Radial Basis Function Networks; Recursive Orthogonal Least Squares
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