Extraction of key technical indicators in intelligent stock trading system
碩士 === 元智大學 === 資訊管理學系 === 101 === This paper presented a kernel-based principal component analysis (kernel-PCA) to extract critical features for improve stock trading model performance. The feature extraction method is one of the dimensionality reduction problems (DRP). The kernel-PCA is a feature...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/65472417479834286975 |