This thesis develops a novel framework of nonlinear modelling to adaptively fit the complexity of the model to the problem domain resulting in a better modelling capability and a straightforward knowledge acquisition. The developed framework also permits increased comprehensibility and user acceptability of modelling results
Notes
Submitted to the School of Engineering and Information Technology of the Faculty of Science and Technology, Deakin University
Degree conferred 2007
Thesis (Ph.D.)--Deakin University, Victoria, 2006
Bibliography
Includes bibliographical references (leaves 172-193)