Nonlinear function approximation using fuzzy functional SIRMs inference model
Hirosato Seki · International Conference on Artificial Intelligence · 2012
Since the single input rule modules connected fuzzy inference model (SIRMs model) is proposed by Yubazaki, Yi et al., many researches on the extension of the SIRMs model have been reported. Moreover, the fuzzy functional SIRMs inference model, in which the consequent parts of the functional-type SIRMs model are generalized to fuzzy function, has proposed as one of various extension SIRMs models. In this paper, we apply the fuzzy functional SIRMs inference model to identification of nonrinear funcions, and show the applicability of the model.