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Optimal experimental design for multi-response modeling of technological processes
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| Zeitschriftentitel: | IOP Conference Series: Materials Science and Engineering |
|---|---|
| Personen und Körperschaften: | |
| In: | IOP Conference Series: Materials Science and Engineering, 656, 2019, 1, S. 012042 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
IOP Publishing
|
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Popov, S A Popov, S A |
|---|---|
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Popov, S A |
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Popov, S A IOP Conference Series: Materials Science and Engineering Optimal experimental design for multi-response modeling of technological processes |
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popov, s a |
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Popov, S A 1757-8981 1757-899X IOP Publishing http://dx.doi.org/10.1088/1757-899x/656/1/012042 <jats:title>Abstract</jats:title> <jats:p>The problem of optimal experimental design for the construction of multi-response models of the technological process is considered. Optimal experimental design can significantly improve the accuracy of model building and their predictive ability.</jats:p> Optimal experimental design for multi-response modeling of technological processes IOP Conference Series: Materials Science and Engineering |
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Optimal experimental design for multi-response modeling of technological processes |
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Optimal experimental design for multi-response modeling of technological processes |
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Optimal experimental design for multi-response modeling of technological processes |
| title_fullStr |
Optimal experimental design for multi-response modeling of technological processes |
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Optimal experimental design for multi-response modeling of technological processes |
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Optimal experimental design for multi-response modeling of technological processes |
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optimal experimental design for multi-response modeling of technological processes |
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http://dx.doi.org/10.1088/1757-899x/656/1/012042 |
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012042 |
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<jats:title>Abstract</jats:title>
<jats:p>The problem of optimal experimental design for the construction of multi-response models of the technological process is considered. Optimal experimental design can significantly improve the accuracy of model building and their predictive ability.</jats:p> |
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| container_title | IOP Conference Series: Materials Science and Engineering |
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| description | <jats:title>Abstract</jats:title> <jats:p>The problem of optimal experimental design for the construction of multi-response models of the technological process is considered. Optimal experimental design can significantly improve the accuracy of model building and their predictive ability.</jats:p> |
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| spelling | Popov, S A 1757-8981 1757-899X IOP Publishing http://dx.doi.org/10.1088/1757-899x/656/1/012042 <jats:title>Abstract</jats:title> <jats:p>The problem of optimal experimental design for the construction of multi-response models of the technological process is considered. Optimal experimental design can significantly improve the accuracy of model building and their predictive ability.</jats:p> Optimal experimental design for multi-response modeling of technological processes IOP Conference Series: Materials Science and Engineering |
| spellingShingle | Popov, S A, IOP Conference Series: Materials Science and Engineering, Optimal experimental design for multi-response modeling of technological processes |
| title | Optimal experimental design for multi-response modeling of technological processes |
| title_full | Optimal experimental design for multi-response modeling of technological processes |
| title_fullStr | Optimal experimental design for multi-response modeling of technological processes |
| title_full_unstemmed | Optimal experimental design for multi-response modeling of technological processes |
| title_short | Optimal experimental design for multi-response modeling of technological processes |
| title_sort | optimal experimental design for multi-response modeling of technological processes |
| title_unstemmed | Optimal experimental design for multi-response modeling of technological processes |
| url | http://dx.doi.org/10.1088/1757-899x/656/1/012042 |