Anti-periodic Solutions of Inertial Neural Networks with Time Delays

作者：Ke, Yunquan^*; Miao, Chunfang

来源：Neural Processing Letters, 2017, 45(2): 523-538.

DOI：10.1007/s11063-016-9540-z

• Inertial term
• Neural networks
• Lyapunov method
• Anti-periodic solutions
• Exponential stability

In this paper, the exponential stability of anti-periodic solutions for inertial neural networks with time delays is investigated. First, by properly chosen variable substitution the system is transformed to first order differential equation. Second, some sufficient conditions which can ensure the existence and exponential stability of anti-periodic solutions for the system are obtained by using Lyapunov method and uniformly converges. Finally, an example is given to illustrate the effectiveness of the results.

• 出版日期2017-4
• 单位绍兴文理学院