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By using the uniform design method (UDM), numerical experiment samples are generated.
Therefore a calibration method is proposed based on a Kriging surrogate model built using the uniform design approach.
Using the Uniform Design Method (UDM), a set of design points is generated over a design domain centred at mean values of random variables, aimed at studying the space variability.
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The main steps are: (1) use the uniform design method to generate initial samples; (2) transform each obtained initial sample into a uniform sample pair based on the safe load and failure load close to the limit load.
All the professionals in the sentinel hospitals and Centers for Disease Prevention and Control (CDCs) of Anhui were trained on the field epidemiological investigation by using the uniform questionnaire designed by the China CDC.
In the proposed method, the use of the uniform design method can improve the quality of the selected training datasets, leading to a better performance of the ANN model.
An important challenge in structural reliability is to minimize the number of calls to the numerical models, so the current structural reliability analysis of multidimensional variable, the surrogate model with the uniform design are widely used because of fewest sample points used in the construction of the surrogate model.
Unlike the traditional Taguchi method which uses orthogonal arrays to arrange experiments, the uniform design table is selected to represent noise factors in this paper.
The uniform design was used to optimize the technology of preparation, the appearance and size distribution were examined by scanning electron microscope, and the aspects such as in vitro release characteristics, stability, drug loading, loading efficiency, pharmacokinetics and tissue distribution in rabbit were studied.
The good lattice point (glp) method was used to construct the uniform designs.
Finally, the uniform design method is used to select the model structure.
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