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.
Grinding production rate (GPR) is a vital index of grinding process. Getting accurate and timely information of GPR is the premise of enhancing grinding efficiency and conducting optimization control. However, for complexity of grinding process, there is no effective method to on-Line predict GPR. On the basis of soft sensor principle, a new sCheme that applying improved mixed-kernel support vector...
Support vector machine (SVM)resembles Radius basis function (RBF) neural networks in structure. Considering their resemblance, a new optimization algorithm based on support vector machine and genetic algorithm for RBF neural network is presented, in which GA is used to choose the SVM model parameter and SVM is used to help constructing the RBF. The network based on this algorithm is applied to nonlinear...
Time series prediction is a main research content in time series analysis, and has become a hot research field with great theoretical value and application value. As an extension type of least square support vector machine (LS-SVM), recurrent LS-SVM is proposed and applied to chaotic time series prediction. Aimed at the key and difficult research problem on LS-SVM - the selection and construction...
An accurate friction model is necessary for friction compensation in radar servo systems or industrial robots. In order to obtain an accurate friction model, a method of friction modelling is proposed, based on support vector regression machines (SVRM) and real genetic algorithms (RGA). Three optimization problem formulations are proposed to realize the automatic optimal parameter selection of SVMR...
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.