Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction

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Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems (2009, methodology): “They include dynamic evolving neurofuzzy inference system (DENFIS) [4], evolving Takagi–Sugeno (eTS) model [5], Simplified eTS (Simpl_eTS) algorithms [6], and sequential adaptive fuzzy inference system (SAFIS) [7].”
FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi–Sugeno Fuzzy Models (2008, methodology): “Furthermore, it also contains a comparison with the evolving fuzzy modeling approaches eTS [9], SOFNN [13], GDFNN [17], SAFIS [14], DENFIS [11], MRAN [46], and RANEKF [47], based on two nonlinear dynamic identification systems and a three-input nonlinear function approximation task.”
SOFMLS: Online Self-Organizing Fuzzy Modified Least-Squares Network (2009, methodology): “In this section, the suggested online self-organized algorithm is applied for nonlinear system identiﬁcation.”
Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification (2020, methodology): “We first use 5000 noisy training data to train fuzzy BLS and BLS, and compare their performance with ANFIS [38], SAFIS [39], eTS [40], Simpl_eTS [41], DENFIS [42], and OS-F-ELM [22].”