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...
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | الإنجليزية |
| منشور في: |
2013
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.utm.my/33794/5/ChawalsakPhetchanchaiPFSKSM2013.pdf |