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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning - Springer Theses Thorsten Wuest 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.
272 pages, 129 black & white illustrations, 10 colour illustrations, biography
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 4 de mayo de 2015 |
| ISBN13 | 9783319176109 |
| Editores | Springer International Publishing AG |
| Páginas | 272 |
| Dimensiones | 155 × 235 × 18 mm · 585 g |
| Lengua | Francés |
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