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.
As the electric arc furnace (EAF)operating conditions is difficult to directly measured, resulting in the EAF not easly to determine the various operating conditions. In view of these problems, based on the characteristics of the EAF ferroalloy smelting, this method about the use of multi-scale decomposition of the nuclear functions of the least square support vector machines (LS-SVM) is proposed...
In order to overcome the problem that the least square support vector machines (LS-SVM) using Gaussian kernel cannot approximate arbitrary signal with multi-scale, a scaling ker-nel for LS-SVM is proposed. LS-SVM can be used simultaneously to approximate to the target function and improve the effectiveness of generalization and approximation in the local area model. The LS-SVM with scaling kernel...
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.