MACHINE-LEARNING ENHANCED PRODUCTION PROCESS WITH MULTI-TARGET MODELLING

Abstract: a method and a system for improving a production process of a product via a computer wherein the computer runs a software performing a machine learning model which is used to predict target production process parameters based on specific input data of the production process and therefore trained with a specific training dataset regarding that input data and target parameters, and finally the predicted target parameters are used to improve the production process, wherein the machine learning model predicts at least two different target parameters at the same time and is therefore trained with a joint training data set adapted to the at least two target parameters.

Inventor(s): Rolf Roth, Maximilian Schoen, Nitika Thakral, Gang Han-Adebekun

CPC Classification: G06N20/00 (Machine learning)

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