PSEUDO ALMOST PERIODIC SOLUTION OF FRACTIONAL-ORDER CLIFFORD-VALUED HIGH-ORDER HOPFIELD NEURAL NETWORKS
Nina Huo, Yongkun Li · Journal of Applied Analysis & Computation · 2024
In this work, based on the principle of contraction mapping, we deduce sufficient conditions ensuring the existence of pseudo almost periodic solutions of fractional-order Clifford-valued high-order Hopfield neural networks (FCHHNNs). In addition, we employ a kind of Gronwall inequality to study the finite-time stability of pseudo almost periodic solutions of FCHHNNs. The results and methods of our paper are new. Finally, we give a numerical example to illustrate the effectiveness of the results obtained.