ELECTRICA

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

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Department of Electrical and Electronics Engineering, İstanbul Medeniyet University School of Engineering and Natural Science, İstanbul, Turkey

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Department of Electrical and Electronics Engineering, İstanbul University School of Engineering, İstanbul, Turkey

ELECTRICA 2018; 18: 1-5
DOI: 10.5152/iujeee.2018.1801
Read: 812 Downloads: 473 Published: 23 February 2018

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

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EISSN 2619-9831