APPLICATION OF SUPPORT VECTOR MACHINE ON DROUGHT CODE CLASSIFICATION IN NORTH SUMATRA INDONESIA
نویسندگان
چکیده
This study aims to classify the Drought Code in North Sumatra. is part of Fire Danger Rating System (FDRS) developed Canada. One sub-systems FDRS Weather Index (FWI) that evaluate fire hazards from current and past weather conditions. classified by using Support Vector Machine. Machine widely used data classification process. advantages methods it has ability classifying large amount more than two classes or multi-classes. parameters this are rainfall temperature The 8 (eight) meteorological observation stations Sumatra 2017 2021. carried out with several tests kernels contained SVM.
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ژورنال
عنوان ژورنال: Indonesian Physical Review
سال: 2022
ISSN: ['2614-7904']
DOI: https://doi.org/10.29303/ipr.v6i1.196