Lineer olmayan sinyallerin lokal dinamik modellenmesi ve uygulamaları
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Date
2004-11-11
Authors
Yürüklü, Emrah
Journal Title
Journal ISSN
Volume Title
Publisher
Uludağ Üniversitesi
Abstract
Lokal dinamik modelleme teknikleri kullanılarak zaman serilerini modellemek özellikle son yıllarda oldukça başardı sonuçlar vermektedir. Yapılan modellemeler yardımıyla, zaman serilerinin yapıları kolaylıkla gözlenebilmekte, ve dinamik karakteristikleri çıkartılabilmektedir. Kobonen'in 1990 yılında sunduğu 'Kendi Kendini Düzenleyen Haritalar' yöntemi ile lokal dinamik modelleme tekniğine farklı bir bakış açısı kazandırılmıştır. Bu yöntem ile, zaman serilerinden türetilen lokal dinamik modeller, sistemin tüm dinamiklerini oldukça başarılı ve kolay bir yöntemle gösterebiliyordu. Bu teknik sayesinde artık zaman serilerinin geçmişini hafızada saklamaya gerek kalmamış, zaman serisinin o andaki değeri ile kendini güncelleyen bir model ortaya çıkmıştır. Zamanla bu teknik pek çok alanda kendine uygulama alam bulmuş, gerek Kohonen, gerekse diğer uzmanlar tarafından pek çok farklı versiyonu ortaya çıkmıştır. Yapılan tezde 'Kendi Kendini Düzenleyen Haritalar' yöntemi etraflıca incelenmiş ve örneklerle açıklanmaya çalışılmıştır. Ayrıca yöntem, Türkçe sesli harflere uygulanmış ve sonuçları tartışılmıştır.
The easiness of putting the model into practice, and making signal or system dynamics and structure observable has made dynamic modeling for time series very popular for the last years. By the years, new versions and approaches of dynamic modeling have been developed and applied to different kind of signals and systems. Kohonen's suggestion was a new approach to local dynamic modeling which he had offered in 1990. The new technique's name was 'Self Organizing Maps'. The innovation of the new approach was its needless of the memory for saving the history of time series. It was because the whole model is updated with the new sample of time series. New versions of this technique are introduced in â lot of different kinds of applications by the years. In this thesis, 'Self Organizing Maps' technique is researched within different versions and examined with a lot of applications. Specifically, this method is applied to Turkish vowels and worked on the advantages of the technique.
The easiness of putting the model into practice, and making signal or system dynamics and structure observable has made dynamic modeling for time series very popular for the last years. By the years, new versions and approaches of dynamic modeling have been developed and applied to different kind of signals and systems. Kohonen's suggestion was a new approach to local dynamic modeling which he had offered in 1990. The new technique's name was 'Self Organizing Maps'. The innovation of the new approach was its needless of the memory for saving the history of time series. It was because the whole model is updated with the new sample of time series. New versions of this technique are introduced in â lot of different kinds of applications by the years. In this thesis, 'Self Organizing Maps' technique is researched within different versions and examined with a lot of applications. Specifically, this method is applied to Turkish vowels and worked on the advantages of the technique.
Description
Keywords
Elektrik ve elektronik mühendisliği, Electrical and electronics engineering, Lineer olmayan sinyaller, Nonlinear signals
Citation
Yürüklü, E. (2004). Lineer olmayan sinyallerin lokal dinamik modellenmesi ve uygulamaları. Yayınlanmamış yüksek lisans tezi. Uludağ Üniversitesi Fen Bilimleri Enstitüsü.