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

Kühnert, ChristianChristianKühnertSailer, JohannesJohannesSailerWeiß, PatrickPatrickWeiß2022-03-062022-03-062019https://publica.fraunhofer.de/handle/publica/259886Deep 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.enClusterMLMLIOSB004384670Product Quality Prediction in Batch Processes with Small Sample Sizes using Siamese Networksjournal article