The comparison of cluster based Soft – Computing methods on the trend forecasting with the weighted stock price index
碩士 === 開南大學 === 財務金融學系 === 97 === This study utilized Back-Propagation Neural Network (BPNN)、Support Vector Machine(SVM) and Genetic Algorithm Fuzzy Decision Tree (GAFDT) as three primary prediction models to forecast the stock trading signals. And the data clustered or not will be compared in both...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2009
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Online Access: | http://ndltd.ncl.edu.tw/handle/28777945982161194188 |