Name
Title | ||
|---|---|---|
Time-Series Forecasting Based on High-Order Fuzzy Cognitive Maps and Wavelet Transform. |
Abstract | ||
|---|---|---|
Fuzzy cognitive maps (FCMs) have been successfully used to model and predict stationary time series. However, it still remains challenging to deal with large-scale nonstationary time series, which have trend and vary rapidly with time. In this paper, we propose a time-series prediction model based on the hybrid combination of high-order FCMs (HFCMs) with the redundant wavelet transform to handle l... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2018.2831640 | IEEE Transactions on Fuzzy Systems |
Keywords | DocType | Volume |
Time series analysis,Wavelet transforms,Predictive models,Forecasting,Prediction algorithms,Numerical models | Journal | 26 |
Issue | ISSN | Citations |
6 | 1063-6706 | 7 |
PageRank | References | Authors |
0.43 | 32 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shanchao Yang | 1 | 11 | 3.88 |
| Jing Liu | 2 | 7 | 0.43 |