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

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