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 paper, combining the basic principle and architecture of grid technology as well the combined application in grid fault diagnosis expert system, puts forward the application scheme of EJB component in grid fault diagnosis system. The paper designs the grid service layer based on OGSA, and discusses the application methods of grid for fault diagnosis expert system. The fault diagnosis grid framework...
This paper introduced the main characters of grid resources, discussed the classic grid resource prediction methods, and then presented a novel prediction algorithm in grid resource state prediction based on BP neural network algorithm. It can be learn directly from the comparison between the traditional BP algorithm and the new TD algorithm based on BP neural network. The experiment results show...
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.