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Destek Vektör Makineleri ve M5 Karar Ağacı Yöntemleri Kullanılarak Yağış Akış İlişkisinin Tahmini

Yıl 2019, Cilt: 10 Sayı: 3, 1113 - 1124, 29.09.2019
https://doi.org/10.24012/dumf.525658

Öz

Havza yönetimi ve afetlerin engellenmesi, su kaynaklarının daha verimli kullanılması ve su yapılarının inşasının planlaması amacı ile yağış ve akış verilerinin tahmini büyük önem taşımaktadır. Bu çalışmada Amerika Birleşik Devletleri Waltham Massachusetts'de yer alan Stony Brook rezervuarını besleyen Stony Brook nehrindeki 731 günlük yağış, akış ve sıcaklık bilgilerini içeren veriler kullanılarak modeller oluşturulmuştur. Bu veriler Destek Vektör Makineleri (SVM) ve M5 Karar Ağacı (M5T) yöntemlerinde girdi olarak kullanılmış ve yağış akış ilişkişi tahmin edilmiştir. Her iki yöntemle elde edilen sonuçlar gerçek ölçüm sonuçları ile karşılaştırılmaları yapılmıştır. Bunun sonucunda M5 Karar Ağacı (M5T) modellerinin akış tahmininde daha iyi performansa sahip olduğu görülmüştür.

Kaynakça

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Toplam 50 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Mustafa Demirci 0000-0002-3249-2586

Yayımlanma Tarihi 29 Eylül 2019
Gönderilme Tarihi 11 Şubat 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 10 Sayı: 3

Kaynak Göster

IEEE M. Demirci, “Destek Vektör Makineleri ve M5 Karar Ağacı Yöntemleri Kullanılarak Yağış Akış İlişkisinin Tahmini”, DÜMF MD, c. 10, sy. 3, ss. 1113–1124, 2019, doi: 10.24012/dumf.525658.

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