32 search results - page 4 / 7 » Soft-computing techniques for time series forecasting |
ITNG
2010
IEEE
14 years 2 months ago
2010
IEEE
This paper demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) to forecast the arrival time behaviors in a parallel batch system. An analysis...
DMIN
2006
13 years 11 months ago
2006
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
CG
2007
Springer
13 years 9 months ago
2007
Springer
Identifying the historical data that is the best analog with a pattern from which a forecast is sought allows time series data to be extrapolated. That technique of best analogs i...
JIDM
2010
13 years 8 months ago
2010
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensiļ¬cation of na...
FUZZY
1997
Springer
14 years 1 months ago
1997
Springer
Abstract. In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on it...