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...
| 第一著者: | |
|---|---|
| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2013
|
| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/33794/5/ChawalsakPhetchanchaiPFSKSM2013.pdf |