The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
By using the Lyapunov functional and some inequality technique, some sufficient conditions are obtained for the global exponential stability and existence of the periodic solution to the BAM neural networks with distributed delays on time scales. In fact, the results can be easily applied in practice.
In this paper, we investigate a Hopfield-type neural network with distributed delays. Some sufficient conditions about the global exponential stability and existence of the periodic solution of the Hopfield-type neural networks with distributed delay are obtained on time scales.
By Lyapunov function and Halanay inequality, a class of the BAM type Cohen-Grossberg neural network with delays and impulsive is considered.It obtained some sufficient conditions about the existence of equilibrium point, globally exponential stability and globally exponentially robust stability.We can see the impulses do contribution to the exponential stability and robust stability.At last, an example...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.