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The ANN prediction and the measured experimental values are compared with the shear strength predictions of ACI318-02 and BS8110 codes.
In this study, results of the numerical models were compared with the measured experimental values based on the Nash-Sutcliffe coefficient of efficiency (NSE) as performance evaluation criterion.
Verification shows that the proposed approach predicts results very close to measured experimental values, and the method can be used for engineering design and industrial applications.
The change of conductance (ΔG) has been calculated analytically and compared to the measured experimental values.
Figure 8 shows the measured experimental values and the approximating curve calculated according to equation (36).
The measured experimental values were weighted by the relative recovery to estimate the in vivo extracellular concentration of the components in the immediate vicinity of the probes.
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The results show a considerably high agreement between the predicted values from the correlation and measured experimental observations.
The experimental values measured to design the neural network (NN) model were registered at 298.15 K.
The converged values of the volume fractions of Cu closely match experimental values measured by the Archimedes technique.
Critical stress values were calculated using delamination buckling models and were found to be in very good agreement with the experimental values measured.
In addition, the dynamics simulations give an estimated decay time of 1.1 ps for the S1 state, which is agrees well with the experimental values measured in proteins.
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