Abstract
In the paper, under some sufficient conditions, the existence and the global exponential stability of a pseudo almost automorphic solution to multidirectional associative memory (MAM) neural network with time-varying coefficients and mixed delays is obtained by combining both differential inequality techniques and the classical Banach’s fixed-point principle. As you will see, our results improve and generalize many previous known results in MAM. Finally, an example together with its numeric simulations show the feasibility and effectiveness of our main results.
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M’hamdi, M.S. Pseudo Almost Automorphic Solutions for Multidirectional Associative Memory Neural Network with Mixed Delays. Neural Process Lett 49, 1567–1592 (2019). https://doi.org/10.1007/s11063-018-9889-2
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DOI: https://doi.org/10.1007/s11063-018-9889-2
Keywords
- Multidirectional associative memory neural network
- Mixed delays
- Pseudo almost automorphic functions
- Global exponential stability