New results on impulsive type inertial bidirectional associativememory neural networks

Abstract

This paper is concerned with inertial bidirectional associative memory neural networks with mixed delays and impulsive effects. New and practical conditions are given to study the existence, uniqueness, and global exponential stability of anti-periodic solutions for the suggested system. We use differential inequality techniques to prove our main results. Finally, we give an illustrative example to demonstrate the effectiveness of our new results.

Keywords

Inertial neural networks / Anti-periodic solutions / Global exponential stability / Impulsive effect / Time-varying delay / Bidirectional associative memory

RIGHTS & PERMISSIONS

2020 Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature