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The model selection sub-module is developed to select a proper learning algorithm and computing parameter set based on user's dataset via comparing/validating models and tuning parameters.
Then, a novel method for characterizing the consistent parameter set based on homothety is offered; the proposed method allows for the utilization of general compact and convex sets for outer-bounding.
The beam window diameter and thickness were varied to find the optimal parameter set based on the design criteria: maximum lead bismuth eutectic (LBE) temperature <500 °C, maximum beam window temperature <600 °C, maximum LBE velocity <2 m/s, and the maximum beam window stress <160 MPa.
For each set of parameter values, we perform
In each round x, a population of size nx parameters sets is generated iteratively by choosing a parameter set from the preceding round x − 1, perturbing its values, then accepting or discarding the new parameter set based on the distance of its measured summary statistic from the summary statistic representing the data.
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The first strategy considers Pareto-based ranking of parameter sets, while the second one is based on ranking the parameter sets based on an aggregated criterion.
Unified parameter sets based on gear construction and geometry assure easy customization and any choice of state variables.
From an image processing point of view, our operator has an essential advantage in computational simplicity and easy parameter setting based on physiological findings.
A closed-loop control has been implemented to further improve the process parameter setting based on data measured during the deposition, in this way compensating the material withdrawal or other unexpected defects.
In the SAMOHS algorithm, a modified self-adaptive bandwidth is employed, moreover, the self-adaptive parameter setting based on variation of harmony memory variance is proposed for harmony memory considering rate (HMCR) and pitch adjusting rate (PAR).
Here, parameters are set based on Table 1 as a concrete example.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com