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.
Credit risk is the primary source of risk to financial institutions. Support vector machine (SVM) is a good classifier to solve binary classification problem and the learning results possess stronger robustness. The attribute reduction of rough set has been applied as preprocessor, then resolving the problem of the application of SVM in housing loan credit evaluation, such as the choice of kernel...
Since hyper-sphere SVM treat all samples equally, its performance is lower when distribution of the training examples is uneven. How to eliminate the influence of the uneven class sizes is important for the resulting classifier. To solve this problem, we present a new weighted hyper-sphere SVM based on the analysis of performance influence caused by the class size. Experimental results show that our...
A multivariable nonlinear decoupling control strategy based on least squares support vector machine (LS-SVM) inverse system is presented for a L-lysine fermentation process. The invertibility of dynamic model for L-lysine fermentation process is verified and is obtained offline using a LS-SVM with Gaussian kernel, which connects in series with the original system and makes the complicated nonlinear...
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.