Using wavelet transform and support vector regression for forecasting stock index
碩士 === 輔仁大學 === 應用統計學研究所 === 94 === Wavelet transform(WT) is a commonly adopted methodology in decomposing time series data. It has become more and more powerful due to its capability in unveiling the hidden characteristics buried in time series datasets. Due to the advantages of the generalization...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/00353093645696615293 |