Commodity price prediction using ensembles of neural networks
The prediction of market prices plays a major role in today’s financial markets. Such prices range from stocks, bonds, estate to commodities such as precious metals. Consequently, forecasting methodologies and techniques have become increasingly vital to the lifeblood of an investor, pushing the nee...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/77638 |