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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Bibliographic Details
Main Authors: Mathias Vijay Albert William, Subramanian Ramesh, Robert Cep, Mahalingam Siva Kumar, Muniyandy Elangovan
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
SVR
performance measures
kernel functions
MFO
DFO
PSO
Online Access:https://www.mdpi.com/2076-3417/12/23/12375

Internet

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

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