Design of Intelligent Classifiers Based on SVR and SVM for Stock Price Trend Prediction
碩士 === 國立虎尾科技大學 === 資訊管理研究所 === 101 === The thesis proposes two prediction schemes for stock price trend. The first scheme first utilizes the support vector regression (SVR) to estimate the stock price rate and then perofrms a classification model for classfying the estimation regression results whi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/p335ms |