Research on error correction model of surface acoustic wave yarn tension transducer based on DOA–SVR model

We present an error correction model for improving the accuracy of Surface Acoustic Wave Yarn Tension (SAWYT) transducer measurements. The model utilizes Support Vector Regression (SVR) and Dingo Optimization Algorithm (DOA). Significantly, the input comprises the oscillation frequencies from the co...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 226; S. 114126
Hauptverfasser:	Liu, Shoubing, Wang, Dongqiang, Xing, Renzhou, Ren, Jiale, Lu, Wenke
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 28.02.2024
Schlagworte:	Dingo optimization algorithm (DOA) Error correction Support vector regression (SVR) Surface acoustic wave Yarn tension transducer Yarn tension transducer Support vector regression (SVR) Dingo optimization algorithm (DOA) Error correction Surface acoustic wave
ISSN:	0263-2241
Online-Zugang:	Volltext
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