An Analysis of the Effects of SVM Parameters on the  Dead-Time System Modeling

Nihat Kabaoğlu; Rana Ortaç Kabaoğlu

Makale detayları

An Analysis of the Effects of SVM Parameters on the Dead-Time System Modeling

Yazarlar:

Nihat Kabaoğlu | Rana Ortaç Kabaoğlu

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Electrica 2018 Vol.18 Issue 1, pp.1-5

Belge Tipi:

Makale

Yayın Tarihi:

2/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000777663

Sıklık:

İki Yıllık

eISSN:

2619-9831

Özet:

 


Modeling a dead-time
system is a common issue in engineering applications. To address this issue,
existing research has employed neural networks and fuzzy logic-based intelligent
systems. Herein, a dead-time system modeled with the aid of support vector
machine regression, which has a good generalization feature, was investigated.
The performance of the method proposed herein was examined with different
parameters in linear and nonlinear dead-time systems.


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Makale detayları

An Analysis of the Effects of SVM Parameters on the Dead-Time System Modeling

Yazarlar: Nihat Kabaoğlu | Rana Ortaç Kabaoğlu

Yayıncı: İstanbul University-Cerrahpasa

Ana Başlıklar: Uygulamalı fizik

Dergi: Electrica 2018 Vol.18 Issue 1, pp.1-5

Belge Tipi: Makale

Yayın Tarihi: 2/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000777663

Sıklık: İki Yıllık

eISSN: 2619-9831

Sayı

Yazarlar:

Nihat Kabaoğlu | Rana Ortaç Kabaoğlu

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Electrica 2018 Vol.18 Issue 1, pp.1-5

Belge Tipi:

Makale

Yayın Tarihi:

2/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000777663

Sıklık:

İki Yıllık

eISSN:

2619-9831