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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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.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science
|Date Deposited:||04 May 1999|
|Last Modified:||01 Mar 2012 10:17|
|Contributors:||Hunt, K.J. (Author)
Haas, R. (Author)
Brown, M. (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||17|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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