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Start Over Topic artificial neural networks Topic environmental indicators Topic yapay sinir aglari Language turkish Publisher gazi university, faculty of engineering & architecture

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1. TÜRKİYE'NİN KARBONİZASYON İNDEKSİNİN TEMEL ENERJİ GÖSTERGELERİNE BAĞLI OLARAK YAPAY SİNİR AĞLARI İLE TANIMLANMASI.

Author

ÖZDEMİR, Veysel

Subjects
*CARBON dioxide & the environment, *CARBONIZATION, *ARTIFICIAL neural networks, *ENVIRONMENTAL indicators, *INDEXES, *INTERNATIONAL cooperation on climate change
Abstract

In this study, Turkey's Carbonization Index (v) depending on the basic energy indicator has determined as an analytical equation. In this paper, artificial neural networks (ANN) which is quite often in recent years and the possibility of applying to many fields, are used to obtain analytical expressions. Carbonization Index is defined the amount of CO2 emissions per energy consumption. This parameter is an important for Turkey because of has signed the Kyoto protocol, February 2009. According to the results, accuracy of the carbonization index formulated empirical was obtained as R²= 1. It is expected that this study will be helpful in demonstrating carbonization index for policy makers. [ABSTRACT FROM AUTHOR]

Published
2011