Nonlinear Identification Using Single Input Connected Fuzzy Inference Model
Hirosato Seki · Procedia Computer Science · 2013
The single input connected fuzzy inference model (SIC model) by Hayashi et al. can decrease the number of fuzzy rules drastically in comparison with the conventional fuzzy inference models. In this paper, we first show the SIC model and its learning algorithm, and clarify the applicability of the SIC model by applying it to identification of nonlinear functions.