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Interactions identified during the modeling process were evaluated in subsequent models; no interaction remained in the final model.
In this study, to address the relative advantages and disadvantages of Direct Modeling and Parametric Modeling, a design generator of 3D printed orthosis and its detailed modeling process were created and developed by the Visual Programming Language in an engineering CAD environment.
The random validation samples excluded from the modeling process were used to validate the selected model.
aimed to improve the reliability of the modeling process were utilized and their effect on the statistical parameters of the models was evaluated.
So, the nondeterministic and convergence aspects intrinsic to the student modeling process were very clear to us.
Therefore, its most important and common functions during the 3D modeling process were introduced in the classes (e.g., drawing lines and extruding them, revolving lines to make a surface, cutting surfaces and transforming them, copying them in symmetrical directions as a mirror function, arranging them).
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The dynamics modeling process is divided into the modeling of multi-attribute parts, system modeling based on assembly features, dynamics modeling and system implementation stage from the analysis process.
The next step in the static reservoir modeling process is the stratigraphic modeling which is one of the most important aspects, because its result is very vital to the overall accuracy of field development.
The objective functions that have been considered for multi-objective modeling process are training error and model complexity.
The objective functions that have been considered for Pareto multi-objective modeling process are training error and model complexity.
The next step of the in silico modeling process was to validate the model by testing if it can reproduce the behavior of the biological system and its components as observed in the laboratory.
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