Genetic complementary learning fuzzy neural network based on approximate analogical reasoning schema for stock market trend prediction
Over the past decade, there have been many attempts made to predict stock market data using statistical and data-mining models. While they all achieve a certain degree of success, they have certain major drawbacks, namely requiring long training times, results being difficult to understand and certa...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/10356/38556 |