Prediction of Wort Density with LSTM Network

arXiv:2403.06458v1 Announce Type: new
Abstract: Many physical target values in technical processes are error-prone, cumbersome, or expensive to measure automatically. One example of a physical target value is the wort density, which is an important value needed for beer production. This article introduces a system that helps the brewer measure wort density through sensors in order to reduce errors in manual data collection. Instead of a direct measurement of wort density, a method is developed that calculates the density from …

abstract article arxiv beer cs.lg error example lstm network prediction processes production technical through type value values