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.
Employing the statistics of air cargo volume of China from 1997 to 2007, using the Gray GM(1, 1) model and Regression Analysis model combined for optimization, an air cargo volume combination forecasting model based on approximate optimal non-negative weight is established and validated. The result shows that this model is effective, suitable, more accurate, and is applicable to practice. Then the...
In order to forecast the scale of logistics demand for a new-built airport, economic indicators are used to forecast the scale of logistics demand and the measuring indicator of the scale of logistics demand is studied. The factor analysis and back propagation (BP) artificial neural network theory are applied to set up a model to forecast the scale of the logistics. The application of factor analysis...
Firstly, an air passenger capacity investigation at the capital international airport is made, and a composite forecasting model based on total air passenger capacity is established, in which multiple regression and ARIMA model are parallel connection and their forecast results are series connection with BP neural network. Secondly, according to the average growth rate of air passenger capacity, all...
According to the PM10 monitoring data of Harbin City in China during 2001~2007, the paper establishes a conventional grey forecasting model GM(1,1) and its metabolic version based on grey system theory. Four different methods are employed to test the accuracy of two models and the metabolic model is proved superior to conventional one as a good prediction approach. After that, the paper predicts the...
The combination of forecasts is a well established procedure for improving forecast performance and decreasing the risk of selecting an inferior model out of an existing pool of models. Work in this area mainly focuses on combining several functionally different models, but some publications also deal with combining forecasts with the same functional approach. In the latter case, individual forecasts...
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.