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.
In this paper, a new neuron model with different output-feedback factor and a neural network model that is composed of output feedback neural model are proposed. And its learning algorithm is derived and proofed in theory. This neural network can learn not only the static knowledge, but can learn dynamic knowledge; not only can remember static information, but can remember dynamic information; so...
Most research and application of recursive neural network is mostly the unit feedback recursive neural network, the dynamic process of the system is usually determined by the dynamic feedback, so it is difficult to control the dynamic process, which limits application. The recursive feedback factor implied the neural network dynamic performance, the different state feedback factor expressed the different...
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.