Deep GRU neural networks for gold price prediction

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 impro...

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Main Author: Kuan, Soon Yee
Other Authors: Wang Lipo
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
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Online Access:https://hdl.handle.net/10356/167496
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1674962023-07-07T15:46:00Z Deep GRU neural networks for gold price prediction Kuan, Soon Yee Wang Lipo School of Electrical and Electronic Engineering ELPWang@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-29T08:12:35Z 2023-05-29T08:12:35Z 2023 Final Year Project (FYP) 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 https://hdl.handle.net/10356/167496 en A3283-221 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Kuan, Soon Yee
Deep GRU neural networks for gold price prediction
description 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.
author2 Wang Lipo
author_facet Wang Lipo
Kuan, Soon Yee
format Final Year Project
author Kuan, Soon Yee
author_sort Kuan, Soon Yee
title Deep GRU neural networks for gold price prediction
title_short Deep GRU neural networks for gold price prediction
title_full Deep GRU neural networks for gold price prediction
title_fullStr Deep GRU neural networks for gold price prediction
title_full_unstemmed Deep GRU neural networks for gold price prediction
title_sort deep gru neural networks for gold price prediction
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167496
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