Dergiler / International Journal of Intelligent Systems and Applications in Engineering / 2017 / Cilt: 5 - Sayı: 4

Modelling and Evaluating Air Quality with Fuzzy Logic AlgorithmAnkara-Cebeci Sample

Sayfa
263–268
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Ankara province data is used in the sample of the research.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Air is one of the most important life sources for all living things.
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Temel Bulgular & Veri:Accurate estimation of pollutant concentrations through air pollution modeling has an important effect in reducing the adverse effects of air pollution and taking necessary precautions.
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Sonuç & Katkı:Ankara province data is used in the sample of the research.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

Air is one of the most important life sources for all living things. Gases that are present and absent in the composition of clean air also considered as pollutants in the atmosphere. If the pollutants rise above a certain concentration level, air pollution occurs. Air pollution damages all living things, especially human health. Accurate estimation of pollutant concentrations through air pollution modeling has an important effect in reducing the adverse effects of air pollution and taking necessary precautions. Conventional statistical models are widely used in air pollution forecasting and modeling. As a different approach, in this study, fuzzy logic algorithm (FLA), which has been increasingly successful in many field applications, is used to model air quality and air pollution analyzes are made based on this model. Ankara province data is used in the sample of the research.

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Bu Makaleye Atıf Yap

ATACAK, İ., ARICI, N., GÜNER, D. (2017). Modelling and Evaluating Air Quality with Fuzzy Logic AlgorithmAnkara-Cebeci Sample. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 5 - Sayı: 4, 263–268. https://ajindex.com/articles/190438

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Kaynakça (13)

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