title: C1-almost periodic solutions of BAM neural networks with time-varying delays on time scales.
abstract: On a new type of almost periodic time scales, a class of BAM neural networks is considered. By employing a fixed point theorem and differential inequality techniques, some sufficient conditions ensuring the existence and global exponential stability of C1-almost periodic solutions for this class of networks with time-varying delays are established. Two examples are given to show the effectiveness of the proposed method and results.
authors: Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, China.
authors: Yongkun
authors: Y
authors: Li
authors: Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, China.
authors: Lili
authors: L
authors: Zhao
authors: Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, China.
authors: Li
authors: L
authors: Yang
mesh_terms: D001185:Artificial Intelligence; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D010507:Periodicity; D013997:Time Factors