Weighted cross-validation evolving artificial neural networks to forecast time series
Accurate time series forecasting is a key tool to support decision making and for planning our day to-day activities. In recent years, several Works in the literature have adopted evolving artificial neural networks (EANN) for forecasting applications. EANNs are particularly appealing due to their ab...
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/14844 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/14844 |