Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning
The book reports on a novel approach for holistically identifying the relevant state drivers of complex, multi-stage manufacturing systems. This approach is able to utilize complex, diverse and high-dimensional data sets, which often occur in manufacturing applications, and to integrate the importan...
Clasificación: | Libro Electrónico |
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Autor principal: | Wuest, Thorsten (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Edición: | 1st ed. 2015. |
Colección: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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Temas: | |
Acceso en línea: | Texto Completo |
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