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.
For supplying optimal scheduling of Zhengzhou city with short-term water consumption data, this paper builds three types of forecasting model according to moving arithmetic mean method, regression analysis method and BP neural network. As a result, forecasting result is obtained by water supply data and meteorological data. The study shows that three different methods all can meet the need of urban...
The forecast of the mine Ground-water-level is an issue with many influencing factors, highly non-linear and temporal series. SVR (Support Vector Regression) is applied to forecast Coal Mine Ground-water-level in this paper. Appropriate kernel function and parameters are chosen based on the analysis to SVR regression algorithm. This paper proposes the Forecasting Model of Coal Mine Ground-water-level...
This paper researches prediction problems of Parking Occupancy Rate (POR) for city Parking Guidance System (PGS). First, giving the POR model based on BP Neural Network. Second, discuss the structure of BP Neural Network. At last, make a compare for different BP methods. Experimental results show that the POR predicting BP networkpsilas topology structure is 5-5-1, the generalization capacity is improved...
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.