A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process

no code implementations • 25 Sep 2020 • Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per-Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen

In this paper we present the results of a feature importance analysis of a chemical sulphonation process.

Chemical Process Feature Importance +1

Towards the Automation of a Chemical Sulphonation Process with Machine Learning

no code implementations • 25 Sep 2020 • Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per-Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen

In this paper, we present the results of applying machine learning methods during a chemical sulphonation process with the objective of automating the product quality analysis which currently is performed manually.

BIG-bench Machine Learning