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

Year 2018, Volume: 18 Issue: 1, 1 - 5, 23.02.2018

Nihat Kabaoğlu , Rana Ortaç Kabaoğlu

Abstract

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.

Keywords

Modeling, support vector machine, regression

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