title: Global exponential stability of fuzzy interval delayed neural networks with impulses on time scales.
abstract: In this paper, we investigate the existence and uniqueness of equilibrium point for fuzzy interval delayed neural networks with impulses on time scales. And we give the criteria of the global exponential stability of the unique equilibrium point for the neural networks under consideration using Lyapunov method. Finally, we present an example to illustrate that our results are effective.
authors.affiliation: Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, Pepole's Republic of China. yklie@ynu.edu.cn
authors.forename: Yongkun
authors.initials: Y
authors.lastname: Li
authors.forename: Tianwei
authors.initials: T
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D017143:Fuzzy Logic; D008432:Mathematical Computing; D055641:Mathematical Concepts; D016571:Neural Networks, Computer; D013997:Time Factors