Research Information System
in: ADVANCES IN SCIENCE AND MATHEMATICS, Aykut Demirçalı, Editor, Platanus Publishing, Ankara, pp.7-28, 2024
In this study, the change in the amount of CO2 (Million tons) for Turkey was
analyzed mathematically. For this purpose, the data was obtained through TSI
(Turkish Statistical Institute) for the years 1990-2022. For this purpose, the
Energy (Million tons), Industrial processes and product use (Million tons),
Agriculture (Million tons), Waste (Million tons) sectors and the total population
of Turkey, which affect greenhouse gas emissions, were taken into account. Thus,
their effects on the amount of CO2 (Million tons) were tried to be explained
mathematically with various optimization methods. Therefore, the amount of
CO2 (Million tons) was investigated with the ANN (Artificial Neural Network)
activation function according to the above 5 input variables. On the other hand,
the time-dependent change of these 6 variables was estimated based on the real
values throughout the linear differential equation system. Finally, the
performances of the ANN and differential equation system were compared
according to the real values of CO2.