@article{(Open Science Index):https://publications.waset.org/pdf/16992,
	  title     = {Exponential Stability of Periodic Solutions in Inertial Neural Networks with Unbounded Delay},
	  author    = {Yunquan Ke and  Chunfang Miao},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, the exponential stability of periodic solutions in inertial neural networks with unbounded delay are investigated. First, using variable substitution the system is transformed to first order differential equation. Second, by the fixed-point theorem and constructing suitable Lyapunov function, some sufficient conditions guaranteeing the existence and exponential stability of periodic solutions of the system are obtained. Finally, two examples are given to illustrate the effectiveness of the results.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {7},
	  number    = {3},
	  year      = {2013},
	  pages     = {477 - 486},
	  ee        = {https://publications.waset.org/pdf/16992},
	  url   	= {https://publications.waset.org/vol/75},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 75, 2013},
	}