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Functional equivalence between radial basis function networks and fuzzy inference systems

1993; Institute of Electrical and Electronics Engineers; Volume: 4; Issue: 1 Linguagem: Inglês

10.1109/72.182710

1941-0093

Jyh‐Shing Roger Jang, Chang Sun,

Machine Learning in Bioinformatics

It is shown that, under some minor restrictions, the functional behavior of radial basis function networks (RBFNs) and that of fuzzy inference systems are actually equivalent. This functional equivalence makes it possible to apply what has been discovered (learning rule, representational power, etc.) for one of the models to the other, and vice versa. It is of interest to observe that two models stemming from different origins turn out to be functionally equivalent. >