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Product Quality Prediction in Batch Processes with Small Sample Sizes using Siamese Networks

 
: Kühnert, Christian; Sailer, Johannes; Weiß, Patrick

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ERCIM News (2019), No.119, pp.9-10
ISSN: 0926-4981
English
Journal Article, Electronic Publication
Fraunhofer IOSB ()
ClusterML; MLIOSB

Abstract
Deep Learning algorithms usually need a large amount of data. Still, when analysing measurements from manufacturing processes, informative data in sufficient quantities is rather rare, making the task more complex. Therefore, the development of so-called few shot learning algorithms, focusing especially on the analysis of small data sets, is one of the current research topics of the Fraunhofer Cluster of Excellence.

: http://publica.fraunhofer.de/documents/N-564796.html