Name
Abstract | ||
|---|---|---|
This paper proposed a new hybrid model in order to increase time series prediction accuracy. This hybrid model considers the routine time prediction technique like AR, ANN or any others as atomic building block. A linear hybrid technique is used to combine their forecast result into the final result. The hybrid algorithm was tested against three different kinds of time series data. Experiments results showed the effectiveness of the proposed hybrid model. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/COGINF.2009.5250728 | PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS |
Keywords | Field | DocType |
Time series, Prediction, ANN, Autoregression, Hybrid | Autoregressive model,Time series,Hybrid algorithm,Computer science,Information science,Prediction algorithms,Artificial intelligence,Artificial neural network,Forecasting theory | Conference |
Citations | PageRank | References |
1 | 0.35 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Pan | 1 | 1 | 0.35 |
| Min Xia | 2 | 65 | 3.56 |
| Enjian Bai | 3 | 65 | 7.71 |