Geodesic
Almost periodic dynamical behaviors of neutral-type neural networks with discontinuous activations and mixed delays
Filomat, Tome 37 (2023) no. 18, p. 6089

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DOI

This paper presents a class of neutral-type neural networks with discontinuous activations and mixed delays. By using differential inclusions theory, the non-smooth analysis theory with Lyapunovlike approach, some new sufficient criteria are given to ascertain the existence, uniqueness and globally exponential stability of the almost periodic solution for the addressed neural network system. Some recent results in the literature are generalized and improved. Finally, simulation results of two topical numerical examples are also delineated to demonstrate the effectiveness of our theoretical results.
DOI : 10.2298/FIL2318089Q
Classification : 34A36, 34C27
Keywords: Almost periodic solution, Discontinuous activations, Mixed delays, Global exponential stability 
Hongjun Qiu; Yanhong Zhang; Chengfeng Xu; Fanchao Kong. Almost periodic dynamical behaviors of neutral-type neural networks with discontinuous activations and mixed delays. Filomat, Tome 37 (2023) no. 18, p. 6089 . doi: 10.2298/FIL2318089Q
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     title = {Almost periodic dynamical behaviors of neutral-type neural networks with discontinuous activations and mixed delays},
     journal = {Filomat},
     pages = {6089 },
     year = {2023},
     volume = {37},
     number = {18},
     doi = {10.2298/FIL2318089Q},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.2298/FIL2318089Q/}
}
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