Optimizing NARX-RNN Performance to Predict Precious Metal Futures market

Optimizing NARX-RNN Performance to Predict Precious Metal Futures market

Precious metals offer lucrative investments appealing to investors globally, leading to a surge in demand for accurate forecasts. Published literature for prediction applications often employs Artificial Neural Networks (ANNs), possessing desirable generalization over nonlinear data and design flexi...

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Bibliographic Details
Main Authors: Stephanie, Rengasamy, Dhanuskodi, Juwono, Filbert Hilman, Nandong, Jobrun, Brennan, Andrew, Gopal, L.
Format: Conference Paper
Language:English
Published: IEEE 2022
Subjects:
Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Green & Sustainable Science & Technology
Computer Science
Science & Technology - Other Topics
Precious metal
NARX
RNN
Optimization
RSM
RESPONSE-SURFACE METHODOLOGY
ARTIFICIAL NEURAL-NETWORK
TIME-SERIES
OPTIMIZATION
Online Access:http://hdl.handle.net/20.500.11937/95100

Internet

http://hdl.handle.net/20.500.11937/95100

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