Forecasting seasonal time series with computational intelligence: on recent methods and the potential of their combinations
Accurate time series forecasting is a key issue to support individual and or- ganizational decision making. In this paper, we introduce novel methods for multi-step seasonal time series forecasting. All the presented methods stem from computational intelligence techniques: evolutionary artificial ne...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/23527 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/23527 |