On the Functional Equivalence of Fuzzy Inference Systems and Spline-based Networks


Hunt, K.J., Haas, R. and Brown, M. (1995) On the Functional Equivalence of Fuzzy Inference Systems and Spline-based Networks. Int. J. Neural Systems, 6, (2), 171-184.

Download

Full text not available from this repository.

Description/Abstract

The conditions under which spline-based networks are functionally equivalent to the Takagi-Sugeno model of fuzzy inference are formally established. We consider a generalised form of basis function network whose basis functions are splines. The result admits a wide range of fuzzy membership functions which are commonly encountered in fuzzy systems design. We use the theoretical background of functional equivalence to develop a hybrid fuzzy-spline net for inverse dynamic modelling of a hydraulic driven robot manipulator.

Item Type: Article
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 250217
Date Deposited: 04 May 1999
Last Modified: 27 Mar 2014 19:51
Further Information:Google Scholar
ISI Citation Count:17
URI: http://eprints.soton.ac.uk/id/eprint/250217

Actions (login required)

View Item View Item