Applying Neural Networks to Discover Homogeneous Stock Groups
碩士 === 國立中正大學 === 資訊管理所 === 94 === This study applies neural networks to discover homogeneous stock groups. Self-Organizing Map (SOM), an unsupervised learning neural network model, is chosen to group homogeneous stocks. The grouping results were empirically tested and compared with those of the clu...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/07644008389266794251 |