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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.
In this work we establish the functional equivalence of a class of fuzzy inference systems and spline-based neu- ral networks. The spline-based formulation ...
The conditions under which spline-based networks are functionally equivalent to the Takagi-Sugeno-model of fuzzy inference are formally established.
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Oct 22, 2024 · This paper addresses equivalence of fuzzy inference methods. It first presents several well-known fuzzy inference methods: the ...
The conditions under which spline-based networks are functionally equivalent to the Takagi-Sugeno-model of fuzzy inference are formally established. We consider ...
Abstract—This paper addresses equivalence of fuzzy inference methods. It first presents single input type fuzzy inference.
Oct 11, 2009 · This paper addresses equivalence of fuzzy inference methods. It first presents single input type fuzzy inference methods: the single input ...
Brown, “On the functional equivalence of fuzzy inference systems and spline-based networks,” Int. J. Neural. Syst., June 1995. [9] R. Shorten and R. Murray ...
On the functional equivalence of fuzzy inference systems and spline-based networks · Computer Science, Engineering. International Journal of Neural Systems · 1995.
K.J Hunt et al. On the functional equivalence of fuzzy inference systems and spline-based networks. International Journal of Neural Systems. (1995). K.J Hunt ...