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

Mustafa Demirci

doi:10.24012/dumf.525658

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

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.

Anahtar Kelimeler

Yağış-Akış,Tahmin,Destek Vektör Makineleri,M5 Karar Ağacı

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Details

Primary Language

Turkish

Subjects

-

Journal Section

Research Article

Authors

Mustafa Demirci
0000-0002-3249-2586
Türkiye

Publication Date

September 29, 2019

Submission Date

February 11, 2019

Acceptance Date

April 1, 2019

Published in Issue

Year 2019 Volume: 10 Number: 3

DOI

https://doi.org/10.24012/dumf.525658

IZ

https://izlik.org/JA55DE24TE

Cite

RIS / Bibtex

IEEE

[1]M. Demirci, “Destek Vektör Makineleri ve M5 Karar Ağacı Yöntemleri Kullanılarak Yağış Akış İlişkisinin Tahmini”, DUJE, vol. 10, no. 3, pp. 1113–1124, Sept. 2019, doi: 10.24012/dumf.525658.

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

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

Öz

Anahtar Kelimeler

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

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