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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33794/5/ChawalsakPhetchanchaiPFSKSM2013.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|