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Yapay sinir ağları metodolojisi ile zaman serisi analizi : Teori ve uygulama

Authors: Çelik, Burak;

Yapay sinir ağları metodolojisi ile zaman serisi analizi : Teori ve uygulama

Abstract

Bu çalışmada; ekonomik zaman serileri analizinde yeni bir teknik olan yapay sinir ağları metodolojisi ile zaman serisi analizi konusunun teorik ve uygulamalı olarak incelenmesi amaçlanmıştır. Çalışma dahilinde yapay sinir ağları metodolojisi ile zaman serisi analizinin nasıl yapılacağı teorik olarak açıklanmış ve ardından bir uygulamaya yer verilmiştir. Ayrıca elde edilen sonuçlar, klasik modellerden elde edilen sonuçlar ile karşılaştırılmış ve her modelin öngörü performansı değerlendirilmiştir. Sonuç olarak yapay sinir ağları analizlerinin, klasik yöntemlere güçlü bir alternatif olabileceği görülmüştür.

In this study, it is aimed to examine both theoretical and applied analysis with artificial neural networks methodology as a new techique. Within study, it was theoretically stated that how to make time series analysis with artificial neural networks and then an application was included. Also, reached results were evaluated with the reached results of classical models and predict performance of each model was commented. Evantually, it was seen that artificial neural networks analyses could be strong alternative method to classical models.

241

Country
Turkey
Related Organizations
Keywords

Artificial intelligence, Exchange rate forecasting, Artificial neural networks, Varyans, Zaman Serisi Analizi, Ekonometri, Econometrics, Exchange rate, Yapay Sinir Ağları, Econometric models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green