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.
The similarity measure popularly used in Kohonen's self organizing maps and several of its other variants is the mean square error (MSE). It is shown that this leads to, in information theoretic sense, a suboptimal solution of distributing the centers of the map. Here we show that using a similarity measure called the correntropy induced metric (CIM) can lead to a solution with better magnification...
A state-of-the-art regression method called minimax probability machine is introduced to modelling the chaotic time series. Since the positive global Lyapunov exponents cause the errors in modelling of the chaotic time series to grow exponentially rapidly, a weighted term to the cost function is introduced to compensate this effect. Power spectrum and dynamic invariants involving Lyapunov exponents...
A simulation based BPR methodology using high level Petri net model, as well as the corresponding support tools are explored in this paper. First, a BPR oriented business process model based on high level Petri net (PNPM) is proposed. And its modeling approach is further discussed. Then, a BPR methodology based on simulation is suggested. According to the suggested methodology, a high level Petri...
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.