Titlebook: Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Lear; Thorsten Wuest Book 2015 Springer In

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Application of Machine Learning to Identify State Drivers,facturing programmes. Within this last subsection, the application and evaluation approach of the SVM application are presented and the derived hypotheses are detailed based on the decision to use the SVM algorithm to conclude the section.

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Book 2015oach is able to utilize complex, diverse and high-dimensional data sets, which often occur in manufacturing applications, and to integrate the important process intra- and interrelations. The approach has been evaluated using three scenarios from different manufacturing domains (aviation, chemical a

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Introduction, the importance of the availability of the right information for quality during manufacturing processes. Hence the question is: What is the right and relevant information in the case of distributed manufacturing process chains and high tech industrial products?

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