Forecasting industrial aging processes with machine learning methods (Englisch)
- Neue Suche nach: Bogojeski, Mihail
- Neue Suche nach: Sauer, Simeon
- Neue Suche nach: Horn, Franziska
- Neue Suche nach: Müller, Klaus-Robert
- Neue Suche nach: Bogojeski, Mihail
- Neue Suche nach: Sauer, Simeon
- Neue Suche nach: Horn, Franziska
- Neue Suche nach: Müller, Klaus-Robert
In:
Computers and Chemical Engineering
;
144
;
2020
-
ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Forecasting industrial aging processes with machine learning methods
-
Beteiligte:Bogojeski, Mihail ( Autor:in ) / Sauer, Simeon ( Autor:in ) / Horn, Franziska ( Autor:in ) / Müller, Klaus-Robert ( Autor:in )
-
Erschienen in:
-
Verlag:
- Neue Suche nach: Elsevier Ltd
-
Erscheinungsdatum:07.10.2020
-
ISSN:
-
DOI:
-
Medientyp:Aufsatz (Zeitschrift)
-
Format:Elektronische Ressource
-
Sprache:Englisch
-
Schlagwörter:
-
Datenquelle:
Inhaltsverzeichnis – Band 144
Zeige alle Jahrgänge und Ausgaben
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
-
Model based hazard identification: Process time accelerated by GPU redesigning approachDanko, Matej / Labovský, Juraj / Jelemenský, Ľudovít et al. | 2020
-
Machine learning-based modeling and operation of plasma-enhanced atomic layer deposition of hafnium oxide thin filmsDing, Yangyao / Zhang, Yichi / Chung, Ho Yeon / Christofides, Panagiotis D. et al. | 2020
-
A comprehensive methodology to screen metal-organic frameworks towards sustainable photofixation of nitrogenMohamed, Amro M.O. / Bicer, Yusuf et al. | 2020
-
Flexibility index and design of chemical systems by cylindrical algebraic decompositionZheng, Chenglin / Zhao, Fei / Zhu, Lingyu / Chen, Xi et al. | 2020
-
Optimization-based control using input convex neural networksYang, Shu / Bequette, B. Wayne et al. | 2020
-
Smart process analytics for predictive modelingSun, Weike / Braatz, Richard D. et al. | 2020
-
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentationYoo, Haeun / Kim, Boeun / Kim, Jong Woo / Lee, Jay H. et al. | 2020
-
Multiscale analysis for power-to-gas-to-power facilities based on energy storageHeras, Jorge / Martín, Mariano et al. | 2020
-
Editorial Board| 2019
-
Model-based assessment of temperature profiles in slow freezing for human induced pluripotent stem cellsHayashi, Yusuke / Horiguchi, Ikki / Kino-oka, Masahiro / Sugiyama, Hirokazu et al. | 2020
-
Dynamic simulation and control of a combustion turbine process for biogas derived methaneHenry, Shawn / Baltrusaitis, Jonas / Luyben, William L. et al. | 2020
-
Active metric learning for supervised classificationKumaran, Krishnan / Papageorgiou, Dimitri J / Takac, Martin / Lueg, Laurens / Sahinidis, Nicolas V et al. | 2020
-
State transients in storage systems for energy fluidsCoimbatore Meenakshi Sundaram, Aruna / Karimi, Iftekhar A et al. | 2020
-
Model-based comparison of sequencing batch reactors and continuous-flow activated sludge processes for biological wastewater treatmentSánchez, Jenifer Benavides / Vuono, Marianna / Dionisi, Davide et al. | 2020
-
Forecasting industrial aging processes with machine learning methodsBogojeski, Mihail / Sauer, Simeon / Horn, Franziska / Müller, Klaus-Robert et al. | 2020
-
An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertaintiesWang, Yalin / Li, Ling / Wang, Kai et al. | 2020
-
Control and soft sensing strategies for a wastewater treatment plant using a neuro-genetic approachFernandez de Canete, J. / del Saz-Orozco, P. / Gómez-de-Gabriel, J. / Baratti, R. / Ruano, A. / Rivas-Blanco, I. et al. | 2020