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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning - Springer Theses Thorsten Wuest 2015 edition
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.
272 pages, 129 black & white illustrations, 10 colour illustrations, biography
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | May 4, 2015 |
| ISBN13 | 9783319176109 |
| Publishers | Springer International Publishing AG |
| Pages | 272 |
| Dimensions | 155 × 235 × 18 mm · 585 g |
| Language | French |