L variance criterion). Figure five. Identification benefits obtained applying OMP and IOMP
L variance criterion). Figure 5. Identification benefits obtained applying OMP and IOMP method (residual variance criterion).As shown in Figure 6,six, the OMP process misjudged the damagesubstructures As shown in Figure the OMP method misjudged the harm for for substructures 6, six, and there was a (-)-Irofulven Inducer substantial distinction within the identification among damage things of and there was a substantial difference inside the identification between damage factors of acactually damaged substructures and that with the IOMP system based on the sensitivity tually broken substructures and that based around the sensitivity correlation criterion from the IOMP system based on the sensitivity corcorrelation criterion. The IOMP method relation 72.3 , 80.1 , and 59.0 harm elements recognition for substructures 3, five, and 8,showed showed criterion. The IOMP strategy primarily based around the sensitivity correlation criterion 72.three , 80.1 , and 59.0 damage factors recognition for substructures three, five, and of respecrespectively. The identification accuracy happy the requirements, and no misjudgment eight, tively. The identification accuracy satisfied the needs, and no misjudgment from the the undamaged substructures was observed.undamaged substructures was observed.1 0.8 0.Appl. Sci. 2021, 11,tually broken substructures and that of your IOMP system based on the sensitivity correlation criterion. The IOMP technique based on the sensitivity correlation criterion showed 72.3 , 80.1 , and 59.0 harm factors recognition for substructures three, 5, and eight, respectively. The identification accuracy satisfied the requirements, and no misjudgment in the 12 of 19 undamaged substructures was observed.1 0.8 0.six 0.4 0.2Damage-IOMP Damage-OMP Undamage-IOMP Undamage-OMP Actual value5 six SubstructureFigure 6. Identificationresults obtained making use of OMP and IOMP technique (sensitivity correlation criteFigure six. Identification outcomes obtained utilizing OMP and IOMP approach (sensitivity correlation criterion)rion).As shown IOMP system the regression model is OMP approach. Because the non-paramregression, thein Figure 7, when is more precise than non-parameter Gaussian kernel re-12 of 18 Appl. Sci. 2021, 11, x FOR PEER Evaluation gression, the IOMP system is more accurate than OMP process. Because the non-parameter eter regression model is approximate, its accuracy is worse than the FEM model. However regression model is approximate, its accuracy is worse than the FEM model. However, the the broken substructures-selected processIOMP approach technique has integrality. damaged substructures-selected method on the of your IOMP has stronger stronger integrality.As shown in Figure 7, when the regression model is non-parameter Gaussian kerne1 0.8 0.six 0.four 0.2Damage-IOMP Damage-OMP Undamage-IOMP Undamage-OMP Actual valueSubstructureFigure 7. Identification benefits obtained using OMP and IOMP method (Gaussian kernel regresFigure 7. Identification outcomes obtained applying OMP and IOMP process (Gaussian kernel regression model). sion model).Both the OMP and IOMP techniques determined the location and variety of damaged Both the OMP and IOMP procedures determined the location and number of broken substructures, and it was assumed that thethe remaining substructures undamaged. substructures, and it was assumed that remaining substructures had been had been undamaged. The harm identification final results FM4-64 Autophagy indicated considerable sparseness, consistent using the The damage identification benefits indicated significant sparseness, consistent with all the lolocal harm circumstances.