Deep GRU neural networks for gold price prediction

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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Bibliographic Details
Main Author: Kuan, Soon Yee
Other Authors: Wang Lipo
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/167496
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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