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The new model provided better agreement with experimental data than did other existing models.
For multilayered tubes, the developed damage model provided better predictions compared to the nonlinear buckling model.
However, the Priddle model provided better fit than the Collipriest model.
The results indicated that artificial neural network model provided better prediction results compared to the multiple linear regression model.
The multivariate model provided better estimates of modulus for both hard-blocky rock masses and intensely-altered rock masses.
It was found that the ANN model provided better prediction of groundwater levels in the study area than the numerical model for short time-horizon predictions.
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The quadratic form of the GATEDE model provided better-fit solution to the observed data and can be used with a high correlation coefficient for Turkey's future transport energy projections.
The latter model provides better interpretation of our data.
The proposed model provides better forecasts than alternative specifications.
This model provides better agreement with experimental data than the model proposed by other researcher.
However, the RBF-NN model provides better predictions compared to other models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com