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ZAMAN SERİLERİ TAHMİNİNDE ARIMA-MLP MELEZ MODELİ

2009

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Trends in Business and Economics

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Bu çalışmada zaman serilerinin tahmini için otoregresif hareketli ortalamalar(autoregressive integrated moving average-ARIMA) modeli ve çok katmanlı yapay sinir ağları (multi layer perceptron-MLP) modeli birleştirilerek bir melez model oluşturulmuştur. Melez modelde, zaman serisinin doğrusal bileşeni ARIMA modeli ile doğrusal olmayan bileşeni ise MLP modeli ile tahmin edilmiştir. ARIMA ve MLP modellerinin tek başına kullanılması ile elde edilen tahmin sonuçları Melez modelin tahmin sonuçları ile karşılaştırılarak Melez modelin tahmin performansı ölçülmüştür.

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Trends in Business and Economics

Field : Sosyal, Beşeri ve İdari Bilimler

Journal Type : Uluslararası

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Article : 169

Cite : 88

2023 Impact : 0.179

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ZAMAN SERİLERİ TAHMİNİNDE ARIMA-MLP MELEZ MODELİ

2009

Journal:

Trends in Business and Economics

Author:

Abstract:

Keywords:

Citation Owners

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To view citations of publications, you must access Sobiad from a Member University Network. You can contact the Library and Documentation Department for our institution to become a member of Sobiad.

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Trends in Business and Economics

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User Guide

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Mendeley

Endnote

ZAMAN SERİLERİ TAHMİNİNDE ARIMA-MLP MELEZ MODELİ

2009

Journal:

Trends in Business and Economics

Author:

Abstract:

Keywords:

Citation Owners

Attention! To view citations of publications, you must access Sobiad from a Member University Network. You can contact the Library and Documentation Department for our institution to become a member of Sobiad.

Off-Campus AccessIf you are affiliated with a Sobiad Subscriber organization, you can use Login Panel for external access. You can easily sign up and log in with your corporate e-mail address.

Similar Articles

Trends in Business and Economics

Metrics

Attention!
To view citations of publications, you must access Sobiad from a Member University Network. You can contact the Library and Documentation Department for our institution to become a member of Sobiad.

Off-Campus Access
If you are affiliated with a Sobiad Subscriber organization, you can use Login Panel for external access. You can easily sign up and log in with your corporate e-mail address.