Cilt:61 Sayı:01 (2019)

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https://dspace.ankara.edu.tr/handle/20.500.12575/76507

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Browsing Cilt:61 Sayı:01 (2019) by Subject "Extreme Learning Machine (ELM)"

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    Estimating co2 Emissions By Using Energy Intensıty Data of Oecd Countries
    (Ankara Üniversitesi Fen Fakültesi, 2019-06-30) Gunduç, Semra; Eryiğit, Recep; Bilgisayar Mühendisliği; Mühendislik Fakültesi
    It is discussed that economic development has an essential effect on the country’s CO2 emission which plays an important role in global warming. In this research well-known machine learning algorithm Extreme Learning Machine, ELM, is used to investigate the relationship between CO2 emission and energy intensity for countries in OECD. The results indicate a strong correlation and the method perform well for estimation.