Explaining and Integrating Machine Learning Models with Rigorous Simulation-Reference-Cited by-同舟云学术

Explaining and Integrating Machine Learning Models with Rigorous Simulation

Published:2021-10-07 Issue:12 Volume:93 Page:1998-2009
ISSN:0009-286X
Container-title:Chemie Ingenieur Technik
language:en
Short-container-title:Chemie Ingenieur Technik

Author:

Schöneberger Jan C.¹,Aker Burcu¹,Fricke Armin¹

Affiliation:

1. CGC Capital-Gain Consultants GmbH Poststraße 12 10178 Berlin Germany

Funder

Bundesministerium für Wirtschaft und Energie

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cite.202100089

Reference26 articles.

1. 100 % Digital in der Prozessindustrie - Eindrücke und Ergebnisse vom Tutzing-Symposion 2018

2. S.Bröcker R.Benfer M.Bortz S.Engell C.Knösche A.Kröner Process Simulation – Fit for the future? DECHEMA Position Paper Dechema Frankfurt2021.https://dechema.de/en/Positionspapier_Prozesssimulation/_/PP_Process_Simulation_2021_engl.pdf(Accessed on May 28 2021)

3. Data-driven modelling: some past experiences and new approaches

4. Data Mining and Analytics in the Process Industry: The Role of Machine Learning

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