Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks

This research addresses the persistent global challenge of poverty, with a specific focus on Indonesia, a nation with a population exceeding 270 million. The primary objective is to enhance the precision and reliability of poverty classification using advanced machine learning technologies. We em...

Full description

Saved in:
Bibliographic Details
Main Authors: Khalisha, Ariyani, Silvia, Ratna, M., Muflih, Haldi, Budiman, Noor, Azijah, M.Rezqy, Noor Ridha
Format: Article
Language:English
English
Published: INTI International University 2024
Subjects:
Online Access:http://eprints.intimal.edu.my/2050/1/jods2024_51.pdf
http://eprints.intimal.edu.my/2050/2/591
http://eprints.intimal.edu.my/2050/
http://ipublishing.intimal.edu.my/jods.html
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items