Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2000.07b
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- Pages.1100-1102
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- 2000
An Approach to Identify NARMA Models Based on Fuzzy Basis Functions
- Kreesuradej, Worapoj (Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang) ;
- Wiwattanakantang, Chokchai (Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang)
- Published : 2000.07.01
Abstract
Most systems in tile real world are non-linear and can be represented by the non-linear autoregressive moving average (NARMA) model. The extension of fuzzy system for modeling the system that is represented by NARMA model will be proposed in this paper. Here, fuzzy basis function (FBF) is used as fuzzy NARMA(p,q) model. Then, an approach to Identify fuzzy NARMA models based on fuzzy basis functions is proposed. The efficacy of the proposed approach is shown from experimental results.