New studies on dynamic analysis of asymptotically almost periodic recurrent neural networks involving mixed delays

Abstract

Abstract This paper studies a class of asymptotically almost periodic recurrent neural networks involving mixed delays. By utilizing differential inequality analysis, some novel assertions are gained to validate the asymptotically almost periodicity of the addressed model, which generalizes and refines some recent literature works. In the end, an example with its numerical simulations is carried out to validate the analytical results.

Keywords

• Recurrent neural network
• Asymptotically almost periodicity
• Convergence
• Mixed delay