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https://hdl.handle.net/10356/167496| Title: | Deep GRU neural networks for gold price prediction | Authors: | Kuan, Soon Yee | Keywords: | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence | Issue Date: | 2023 | Publisher: | Nanyang Technological University | Source: | Kuan, S. Y. (2023). Deep GRU neural networks for gold price prediction. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167496 | Project: | A3283-221 | Abstract: | Gold is a versatile material in high demand by both corporates and investors. Hence, the ability to predict gold prices would be of great assistance in acquiring gold. Gated Recurrent Unit (GRU) is a recurrent neural network that can be used to predict gold prices. The aim of this paper was to improve upon the best known GRU model for predicting gold prices. | URI: | https://hdl.handle.net/10356/167496 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
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|---|---|---|---|---|
| KuanSoonYee-Final_Report.pdf Restricted Access | 791.46 kB | Adobe PDF | View/Open |
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