Time-Series Forecasting Based on High-Order Fuzzy Cognitive Maps and Wavelet Transform
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 o...
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Veröffentlicht in: | IEEE transactions on fuzzy systems 2018-12, Vol.26 (6), p.3391-3402 |
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Sprache: | eng |
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