Estimation of Filyos Hisarönü wave datas by artificial neural networks, arima models and hybrid models
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Many approaches are used in the solution of time series. Especially measurements of projects field of the data use during projecting coastal structures. This is important for term of continuity of structures. In this study, wave height data are taken in Filyos Harbor field. These wave heights are created time series. This time series are disrupted by unaccountable causes. Missing wave heights are completed by using Artificial Neural Network Model, ARIMA Model and Hybrid Model. Artificial Neural Network Model is best fit to provided selected time series. Although ARIMA Model is more provide results then Artificial Neural Network Model to the other series.Key Words: Neural Networks, ARIMA Models, Hybrid Models
Author
Turan Güzel
How to Cite
Turan Güzel (Master Thesis). Estimation of Filyos Hisarönü wave datas by artificial neural networks, arima models and hybrid models, 2010, Gazi University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Gazi University
- Experimental development of the interfacial bond-slip model between textile reinforced mortar strips and masonry walls(2025)
- Occupational accident analysis and modelling in oil and gas drilling sector Turkey(2021)
- The ideological construction of regime debate in Turkey by the press in the context of 2007 presidential elections(2012)
- XVI. yüzyıl Anadolu'sunda Oğuzların Karkın Boyu(2004)
- Sharing of real life geometry samples via a social learning environment: A case study(2021)
- Evaluatıon of calcium hydroxide removal efficiency of two different irrigation activation techniques from artificial internal resorption cavities prepared at different root levels(2021)
