RBM neural networks for Apple stock price
Forecasting stocks has always been demanding as the stock market is volatile and ever changing with unforeseen variables in play. This report will use Artificial Neural Networks (ANN), specifically the Restricted Boltzmann Machine (RBM), to predict trends and patterns unseen to the naked eye. Th...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/168283 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Forecasting stocks has always been demanding as the stock market is volatile and ever changing with unforeseen variables in play. This report will use Artificial Neural Networks
(ANN), specifically the Restricted Boltzmann Machine (RBM), to predict trends and
patterns unseen to the naked eye. The usage of RBM will aid in improving the accuracy of
the forecast. Experiments are conducted to evaluate the usefulness of RBM in the
forecasting of Apple stocks. The results suggest that RBM should not be solely relied on,
but along with other analytical tools for greater reliance. |
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