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The influence of the selected modelling assumptions, approximations and impact of the structure of the models on the substantial nuclear fuel storage pools parameters during the beyond design basis accident were investigated.
The structure of the models is studied, which turns out to be the same for the four investigated suspensions.
The structure of the models allows us to take into account all possible geometric forms and data of the electrodes.
As the structure of the models is not precisely known a-priori, nonlinear identification methods in form of special versions of neural networks are good candidates.
The invariants relationships differ substantially from one another when the boundary conditions for the differential equations or the structure of the models are changed.
Both the structure of the models and the model parameters (e.g., how much evidence that is needed before an individual is indicated as a potential lone wolf) can be changed.
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In Section 2, we describe the structure of the model and introduce our modeling assumptions.
However, we are well aware that the structure of the model is simplified and there exist modeling errors embedded in the structure of the mathematical model.
The thrust of this article lies in the thorough investigation of the structure of the model.
Therefore, the structure of the model can be applied to different systems and situations.
Given the structure of the model, which regions would benefit most?
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