Extreme learning machine based stock prediction with information theory, genetic algorithm and indicator voting mechanism
Stock market is one of the most lucrative markets in the world. As such, it has been the center of attraction for researchers and practitioners. So far, some neural network models, such as BP and SVM, have been applied to stock prediction. However, they are either too slow or easy to converge to loc...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2011
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| Online Access: | http://hdl.handle.net/10356/45862 |