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Anahtar kelimeler Hava Kirliligi; Levenberg-Marquardt Algoritmasi Ozet Gelisen Dunya’da sanayinin ve insan nufusunun artmasi cevre kirliligi acisindan risk olusturmaktadir. Bu calismada, hava kirliligine neden olan Kukurt Dioksit (SO2) ve Partikul Madde (PM10) verileri kullanilarak, PM10 ve SO2 tahmini yapilmistir. Ayrica metot olarak Yapay Sinir Aglari (YSA) geri beslemeli ag yapisi icinde Levenberg Marquardt ogrenme algoritmasi kullanilmistir. Bulunan sonuclar ile gercek degerler karsilastirilmis ve ortalama karekok hatasi (OKH) bulunmustur. Bulunan OKH degerleri < 0,04 olarak tespit edilmistir. Bu calisma ile hava kirliligine neden PM10 ve SO2 maddelerini, onceden tahmin edilmesi amaclanmistir.

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