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...
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| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Online Access: | https://doi.org/10.1007/978-3-319-17611-6 |
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