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 studies reported examine the way in which a forecasting support system (FSS) should be designed to allow for the integration of judgemental and statistical forecasts. They study the efficacy of allowing people to adjust their own forecasts in the light of statistical forecasts that are provided to them. Three experimental studies varied the reliability of the reference forecasts and examined the...
Artificial neural networks are increasingly being applied to time series forecasting, but with mixed results. There appears to be as many methods as there are studies. This research investigates whether prior statistical deseasonalising of data is necessary for producing accurate forecasts with neural networks, or whether the networks can adequately model seasonality. Neural networks trained with...
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.