This paper investigates the stability of a class of quaternion-valued neural networks (QVNNs) with discrete and distributed delays. By decomposing the QVNN and forming an equivalent real-valued vector-matrix differential equation (RVVDE). based on the Lyapunov theory and some matrix inequalities. some sufficient conditions are derived to ensure the existence and uniqueness. https://www.trangtinamthuc.com/product-category/cakes/
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