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Nonlinear Modeling of Agricultural and Environmental SDG Indicators in ASEAN Using Extreme Learning Machine Algorithms

This study presents a data-driven approach for modeling Sustainable Development Goal (SDG) indicators in ASEAN countries using the Extreme Learning Machine (ELM) algorithm. Focusing on SDG 2 (Zero Hunger), SDG 6 (Clean Water and Sanitation), and SDG 15 (Life on Land), we utilized FAOSTAT datasets fr...

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Principais autores: Ita Arfyanti, Muhammad Ibnu Sa'ad
פורמט: Artigo
שפה:Inglês
יצא לאור: Ikatan Ahli Informatika Indonesia 2026-04-01
סדרה:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
נושאים:
agricultural sustainability
asean
extreme learning machine (elm)
sdg forecasting
water use efficiency
גישה מקוונת:https://jurnal.iaii.or.id/index.php/RESTI/article/view/7041
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