Nonlinear Identification Using Single Input Connected Fuzzy Inference Model
نویسنده
چکیده
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. c © 2013 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of KES International.
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