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- W2065481856 startingPage "2187" @default.
- W2065481856 abstract "A new stock index trend analysis approach is proposed in this paper, which is based on a newly developed signal decomposition approach - adaptive Fourier decomposition (AFD). AFD can effectively extract the signal's primary trend, which specifically suits the Dow Theory based technique analysis. The proposed approach integrates two different kinds of forecasting approaches, including the Dow theory the RBF neural network. Effectiveness of the proposed approach is assessed through comparison with the direct RBF neural network approach. The result is proved to be promising." @default.
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- W2065481856 date "2014-01-01" @default.
- W2065481856 modified "2023-10-02" @default.
- W2065481856 title "Stock Index Trend Analysis Based on Signal Decomposition" @default.
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- W2065481856 doi "https://doi.org/10.1587/transinf.e97.d.2187" @default.
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