A HYBRID STOCK SELECTION MODEL USING GENETIC ALGORITHMS, FUZZY THEORY AND SUPPORT VECTOR REGRESSION
碩士 === 國立高雄大學 === 資訊工程學系碩士班 === 99 === In this thesis I will present a study of a hybrid AI-based methodology for stock selection, which has long been a challenging task in investment and finance. Recent advances in artificial intelligence and soft computing have led to significant opportunities to...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/83483335215562902632 |