Abstract
The non-linear approach relies on numerical optimisation techniques like GA and gradient-based approaches. It should be mentioned that they are iterative and computationally more expensive.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Angelov, P.P. (2002). Non-Linear Approach to (Off-line) Identification of Flexible Models. In: Evolving Rule-Based Models. Studies in Fuzziness and Soft Computing, vol 92. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1794-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-7908-1794-2_4
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2506-0
Online ISBN: 978-3-7908-1794-2
eBook Packages: Springer Book Archive