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.
This paper compares the modeling process in the quantile regression and linear regression for the similarities and differences, in the model building, parameter estimation, computer implementation. and specific examples of these four aspects described quantile regression model better than linear regression mode.
In order to study the early warning of companies' financial risk, this paper used two models based on factor analysis, which are logistic regression and BP neural network. Finally, for the warming accuracy, BP neural network model is better than logistic regression model.
In this paper, the empirical analysis between China's economic growth and iron and steel production data from 1978 to 2008 is made by the Cointegration Test and Error Correction Model. By the Cointegration Test, the results shows that the growth of economic and the iron and steel production had long-run equilibrium relationship, that is, the two time series had the movement of the same trend, but,...
Using the method of the principal component analysis of the three-dimensional data of time sequence, we analyze the process of informationization of 31 provinces and cities in China in the year 2005 and 2008, further we calculate the score on the base of the first main composition to the areas, and give the tables of their sequence, analyze the dynamic change in these different areas. Some constructive...
The random time delays induced by the network transmission in networked control system (NCS) degrade control performance and can even destabilize the control system. With regards to the long time delay, a distributed model is constructed in this paper. The advanced predictive functional control (PFC) algorithm is introduced in the controller nodes. The network-induced long time delays are specifically...
Aiming at the characteristics of thermal process network control system, a mixed scheduling algorithm based on Synthetic Scheduling Index (SSI) is presented. Firstly, a network QoS estimator is used to acquire current network states. When network utilization is smaller than set value, taskpsilas residual time and static priority are adopted to schedule task. Otherwise, network QoS scheduler dispatches...
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.