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

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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...

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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:	GF Human ecology. Anthropogeography QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://eprints.intimal.edu.my/2050/ http://eprints.intimal.edu.my/2050/1/jods2024_51.pdf http://eprints.intimal.edu.my/2050/2/591

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