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Under the virtual environment, numerical control milling machine modeling and motion process simulation are applied successfully.
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It maps them into classical synchronous machine models and aggregates them.
The machine model and material model make predictions with less than 5% average error over the range of experimental parameters.
The conditions are based on simulation and bisimulation relations between the machine model and the user model.
Next, we derive necessary and sufficient conditions for the nonexistence of the automation surprises using simulation and bisimulation relations between the machine model and the user model.
In this case, network can be neglected, and ASF model, single machine model, and SFR model are appropriate.
The synchronous machine model and parameters can be found in the Simulink SimPowerSystems library and follows the model in [13].
To supplement the study of frequency dynamics, reduced models such as average system frequency model (ASF) [13], single machine model and system frequency response model (SFR) [14] are adopted.
The support vector machine model and the default CART model performed poorly with AUC-values 0.581 and 0.560 respectively.
These pages were clustered with a support vector machine model and categorized into different groups to analyze the orientation of web pages.
The CHAID model and the decision list model had AUC-values of 0.699 and 0.634 respectively, and the support vector machine model and the default CART model performed poorly (AUC-values < 0.6).
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