Functional Equivalence Between Radial Basis Function Networks and Fuzzy Inference Systems

J. S. Roger Jang, Chuen-Tsai Sun

Research output: Contribution to journalArticle

616 Scopus citations

Abstract

This letter shows that under some minor restrictions, the functional behavior of radial basis function networks (RBFN's) and fuzzy inference systems are actually equivalent. This functional equivalence enables us 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 functional equivalent.

Original languageEnglish
Pages (from-to)156-159
Number of pages4
JournalIEEE Transactions on Neural Networks
Volume4
Issue number1
DOIs
StatePublished - 1 Jan 1993

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