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.
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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 and Applied Science > Electronics and Computer Science |
| Item ID: | 250217 |
| Date Deposited: | 04 May 1999 |
| Last Modified: | 01 Mar 2012 10:17 |
| Contributors: | Hunt, K.J. (Author) Haas, R. (Author) Brown, M. (Author) |
| Date: | 1995 |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 17 |
| URI: | http://eprints.soton.ac.uk/id/eprint/250217 |
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