Using Growing Time-Adaptive Dynamic Hierarchical Self-Organizing Maps on the Analysis of Clustering Stock Time Series
碩士 === 國立交通大學 === 資訊管理研究所 === 92 === The Self-Organizing Map (SOM), along with its variants, is quite popular in the unsupervised learning category in Artificial Neural Networks (ANN) for transforming high-dimensional data into an output map space of much lower dimension. For applications of Explora...
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| Format: | Others |
| Language: | en_US |
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2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/78530295581568229904 |