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...

書誌詳細
第一著者:	Phetchanchai, Chawalsak
フォーマット:	学位論文
言語:	英語
出版事項:	2013
主題:	HF Commerce
オンライン･アクセス:	http://eprints.utm.my/33794/5/ChawalsakPhetchanchaiPFSKSM2013.pdf

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