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...
Saved in:
Main Author: | Kuan, Soon Yee |
---|---|
Other Authors: | Wang Lipo |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/167496 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Prediction of penetration rate by GRU neural network
by: Leo, Kew Xun Wei
Published: (2022) -
Gold price prediction using transformers
by: Wong, Stanley Qi Ren
Published: (2023) -
Deep GRU neural networks for Apple stock price prediction
by: Ji, YiJun
Published: (2023) -
Stock trading prediction using deep learning neural networks
by: Ong, Hao Cong
Published: (2021) -
Attack on prediction confidence of deep learning neural networks
by: Ng, Garyl Xuan
Published: (2022)