MFO Tunned SVR Models for Analyzing Dimensional Characteristics of Cracks Developed on Steam Generator Tubes

MFO Tunned SVR Models for Analyzing Dimensional Characteristics of Cracks Developed on Steam Generator Tubes

Accurate prediction of material defects from the given images will avoid the major cause in industrial applications. In this work, a Support Vector Regression (SVR) model has been developed from the given Gray Level Co-occurrence Matrix (GLCM) features extracted from Magnetic Flux Leakage (MFL) imag...

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Bibliografiska uppgifter
Huvudupphovsmän: Mathias Vijay Albert William, Subramanian Ramesh, Robert Cep, Mahalingam Siva Kumar, Muniyandy Elangovan
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2022-12-01
Serie:Applied Sciences
Ämnen:
SVR
performance measures
kernel functions
MFO
DFO
PSO
Länkar:https://www.mdpi.com/2076-3417/12/23/12375

Internet

https://www.mdpi.com/2076-3417/12/23/12375

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