Reducing the number of runs in experimental research using smart designs of experiment
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This paper presents the results of a computer simulation, performed to check how the number of smart designs of experiment units affects the quality of information to be obtained in experimental research conducted on the basis of the analyzed designs. In the simulation, a real research object was replaced by a special testing function whose values were compared to the values predicted by the neural networks trained with the use of data sets based on smart designs of experiments containing various numbers of units.
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