Combining SVM and PSO to explore the prediction models of Taiwan Stock Market
碩士 === 國立臺北科技大學 === 資訊與運籌管理研究所 === 99 === This study is to explore how to apply the Support Vector Machine (SVM) method to build the prediction model from classification and regression techniques for individual stock in Taiwan Stock Market and leverage Particle Swarm Optimization (PSO) for parameter...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2011
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Online Access: | http://ndltd.ncl.edu.tw/handle/9hp87j |