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Pseudo Almost Automorphic Solutions for Multidirectional Associative Memory Neural Network with Mixed Delays

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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… Click to show full 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.

Keywords: mixed delays; associative memory; almost automorphic; pseudo almost; multidirectional associative; neural network

Journal Title: Neural Processing Letters
Year Published: 2018

Link to full text (if available)


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