Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Forecasting Gold Prices with Deep Learning: The Essential Role of Data-Adaptive Regularization
Date
2025-09-01
Author
Yılmaz, Berna Nisa
Yılmaz, Bilgi
Takan, Savaş
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
72
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/117297
Conference Name
International Conference on Mathematics and Applied Data Science
Collections
Department of Business Administration, Conference / Seminar
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. N. Yılmaz, B. Yılmaz, and S. Takan, “Forecasting Gold Prices with Deep Learning: The Essential Role of Data-Adaptive Regularization,” presented at the International Conference on Mathematics and Applied Data Science, Konya, Türkiye, 2025, Accessed: 00, 2025. [Online]. Available: https://hdl.handle.net/11511/117297.