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.
To address the problem of approximation and prediction of complex time-varying system, this paper proposes a parallel process neural networks predication method based on general process neural networks models. Firstly, the whole time-varying process is divided into several small time intervals; then, the process neural networks are constructed respectively in the small time intervals to disperse the...
In the field of face recognition (FR), the techniques that can provide effective feature representation with enhanced discriminability are crucial. Although the separable wavelet transform has played an important role in image processing, it suffers from some shortcomings which badly affect its ability for feature generation. In this paper, we propose a novel FR system combining the dual-tree complex...
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.