Anti-periodic solution for fuzzy Cohen–Grossberg neural networks with time-varying and distributed delays

摘要

In this paper, by using a continuation theorem of coincidence degree theory anda differential inequality, we establish some sufficient conditions ensuring the existence and globalexponential stability of anti-periodic solutions for a class of fuzzy Cohen–Grossberg neuralnetworks with time-varying and distributed delays. In addition, we present an illustrative exampleto show the feasibility of obtained results.