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  1. 3 Czasopismo Techniczne

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  1. 2 2016

  2. 1 2015

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  1. 3 Skowronek A.

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Comparing the effects of application of the smart and traditional designs of experiment

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Skowronek A.
Czasopismo Techniczne
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PL
This paper presents an analysis of comparing the effects of the application of the smart and traditional designs of experiment. The smart designs of experiment generated according to two various methods were compared to the central composite designs for two and three inputs. To check how the use of selected designs will affect the results of the experiment a computer simulation was performed, where a real research object was replaced by two special testing functions whose values were compared to the values predicted by the neural networks trained with the use of data sets based on compared smart and traditional designs of the experiment.
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Reducing the number of runs in experimental research using smart designs of experiment

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Skowronek A.
Czasopismo Techniczne
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PL
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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Evaluating the influence of generation methods on the quality of the smart designs of experiment

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Skowronek A.
Czasopismo Techniczne
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-
PL
This paper presents results of computer simulation made to evaluate how the quality of the smart designs of experiment depends on the methods of generating. The quality of smart designs was evaluated by comparing the known values of special testing functions simulating the real research object and approximated values predicted by neural networks trained with the sets based on smart designs of experiment. The results suggest the possibility of significant reducing the number of experiments runs using studied smart designs.
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