Fuzzy time-series prediction model based on text features and network features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-021-05834-w.pdf
Reference28 articles.
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2. Efendi R, Ismail Z, Deris MM (2015) A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand. Appl Soft Comput 28:422–430
3. Miranian A, Rouzbehi K (2013) Nonlinear power system load identification using local model networks. IEEE Trans Power Syst 28:2872–2881
4. Sadaei HJ, Enayatifar R, Guimarães FG, Mahmud M, Alzamil ZA (2016) Combining ARFIMA models and fuzzy time series for the forecast of long memory time series. Neurocomputing 175:782–796
5. Sadaei HJ, Enayatifar R, Lee MH, Mahmud M (2016) A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting. Appl Soft Comput 40:132–149
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