Improved particle swarm optimization for fuzzy based stock market turning points prediction
Stock prices usually appear as a series of zigzag patterns that move in upward and downward trends. These zigzag patterns are learned as a tool for predicting the stock market turning points. Identification of these zigzag patterns is a challenge because they occur in multi-resolutions and are hidde...
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| 格式: | Thesis |
| 語言: | 英语 |
| 出版: |
2013
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| 在線閱讀: | http://eprints.utm.my/33794/5/ChawalsakPhetchanchaiPFSKSM2013.pdf |