Reconstruction of the Taguchi Orthogonal Arrays with the Support Vector Machines Method
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Tarih
2021
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Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Design of Experiment (DOE) is a widely used method for examining experiments especially in industrial production and robust design processes. This method is a set of statistical approaches in which mathematical models are developed through experimental testing to estimate possible outputs and given input values or parameters. The method aims to determine the main factors that affect the results with the smallest number of experimental studies. In this study, L16 (215) orthogonal array, which was used in the Taguchi parameter design was reconstructed with the Support Vector Machines learning model and the Pearson VII kernel function. With this model, array elements were successfully classified in 87.04%. The new and original array were compared and 3.8% difference was measured between their Signal to Noise (S / N) ratios in an exemplary experiment.
Açıklama
Anahtar Kelimeler
Kaynak
Balkan Journal of Electrical and Computer Engineering
WoS Q Değeri
Scopus Q Değeri
Cilt
9
Sayı
2
