Fuzzy functions with function expansion model for nonlinear system identification
Author:
Affiliation:
1. Electrical and Electronics Engineering Department, Ege University, Izmir, Turkey
2. Electrical and Electronics Engineering Department, Pamukkale University, Denizli, Turkey
Publisher
Computers, Materials and Continua (Tech Science Press)
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software
Reference19 articles.
1. Nonlinear system identification using Wiener type Laguerre–Wavelet network model
2. Fuzzy rule-base driven orthogonal approximation
3. Fuzzy functions based ARX model and new fuzzy basis function models for nonlinear system identification
4. Extended fuzzy function model with stable learning methods for online system identification
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