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.
With the sustaining economic development in China, the timely, accurate and objective agricultural production information service has been highly demanded by the central and provincial governments. China Agricultural Remote Sensing Monitoring System (CHARMS) is an operational agricultural monitoring system in the Ministry of Agriculture of China to meet this demand.
In order to improve the prediction accuracy, in accordance with the influence factors and characteristics of gas load, a model based on SVM (Support Vector Machine) has been established. In order to optimize the behavior of SVM, DE (Differential Evolution) algorithm was introduced into classic SVM. Using the algorithm to predict a real example and compare with SVM model optimization method based on...
Output-input feedback (OIF) Elman neural network is a dynamic feedback network. An improved model is proposed based on the OIF Elman neural network by introducing direction profit factor in this paper. Moreover, the proposed model is applied to forecast the composite index of stock. In addition, some comparisons are also made when the stock exchange is performed using prediction results from OIF Elman...
This paper applies grey incidence analysis to study the relationship between energy consumption structure and GDP growth during the ??the ninth five-year plan?? and ??the tenth five-year plan?? in China, and uses GM(1,1) model to predict the total energy consumption in the future. The result indicates that the order is coal, crude oil, natural gas, hydro-power, nuclear power and wind power in turn...
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.