Kaplan, Yalçın İstanbul Kemerburgaz Üniversitesi - Fen Bilimleri Enstitüsü - Elektrik-Bilgisayar Mühendisliği Bölümü, Turkey , Saray, Umut Gaziosmanpaşa Üniversitesi - Turhal Meslek Yüksek Okulu, Turkey , Azkeskin, Erman İstanbul Teknik Üniversitesi - Fen Bilimleri Enstitüsü, Turkey

Which cause air pollution PM10 and SO2 using by artificial neural network of estimation and error rate calculation

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In the developing world, industry and human population growth poses a risk in terms of environmental pollution. In this study; using the data of Sulfur Dioxide (SO ₂) and Particulate Matter (PM10) with cause air pollution to PM10 and SO2 were estimated. As Method, artificial neural networks (ANN) feedback network structure learning algorithm which was used Levenberg - Marquardt. The results were compared with the actual values, and the Root Mean Square Error (RMSE) has been found. RMSE values 0.04 were determined. In this study, PM10 and SO2 substance that cause air pollution, it is aimed to estimate in advance.

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Air pollution , Levenberg , Marquardt Algorithm

Afyon Kocatepe University Journal Of Science an‎d Engineering

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