Abstract: Recurrent fuzzy neural network (RFNN) are widely used with nonlinear system modeling. However, the modeling ability of RFNN is usually compromised due to the presence of uncertain external ...
Abstract: While accurate, black-box system identification models lack interpretability of the underlying system dynamics. This letter proposes State-Space Kolmogorov-Arnold Networks (SS-KAN) to ...
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