Data mining applications using non-linear scientific methods
This thesis describes in detail two novel applications of the back-propagation neural network. In the first application, the neural network is viewed as a component extractor. Here, the network attempts to dynamically find the best indicators (through non-linear weighted averaging) that give a tradi...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/8179 |