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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning - Springer Theses Thorsten Wuest Softcover reprint of the original 1st ed. 2015 edition
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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning - Springer Theses
Thorsten Wuest
The book reports on a novel approach for holistically identifying the relevant state drivers of complex, multi-stage manufacturing systems. In practice, this method can be used to identify the most important process parameters and state characteristics, the so-called state drivers, of a manufacturing system.
290 pages, 129 black & white illustrations, 10 colour illustrations, biography
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 17 octobre 2016 |
| ISBN13 | 9783319386980 |
| Éditeurs | Springer International Publishing AG |
| Pages | 272 |
| Dimensions | 155 × 235 × 15 mm · 412 g |
| Langue et grammaire | Allemand |
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