Large, high-dimensional, heterogeneous multi-sensor data analysis approach for process yield optimization in polymer film industry

Title
Large, high-dimensional, heterogeneous multi-sensor data analysis approach for process yield optimization in polymer film industry
Authors
Keywords
One-class classification (OCC), Novelty detection, Multi-sensor data analysis, Process yield prediction and optimization, Process state visualization
Journal
NEURAL COMPUTING & APPLICATIONS
Volume 26, Issue 3, Pages 581-588
Publisher
Springer Nature
Online
2014-07-15
DOI
10.1007/s00521-014-1654-5

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