Attention-based security price prediction with transformer fuzzy deep neural network (TFDNN)
This research paper explores the application of Transformer architecture as a Fuzzy Neural Network (FNN) for predicting security prices. The Transformer model, known for its prowess in handling sequence-to-sequence problems, is adapted to accommodate the intricacies of financial data forecasting. Le...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/175190 |
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Institution: | Nanyang Technological University |
Language: | English |