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Application of Machine Learning algorithms for the prediction of fuel properties in comparison with state of the art physical models

Hall, Clemens and Rauch, Bastian and Bauder, Uwe and Le Clercq, Patrick and Aigner, Manfred (2019) Application of Machine Learning algorithms for the prediction of fuel properties in comparison with state of the art physical models. In: Proceedings of the 16th International Conference on Stability, Handling and Use of Liquid Fuels 2019. 16th International Conference on Stability, Handling and Use of Liquid Fuels (IASH2019), 2019-09-08 - 2019-09-12, Long Beach, USA.

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Item URL in elib:https://elib.dlr.de/130078/
Document Type:Conference or Workshop Item (Speech)
Title:Application of Machine Learning algorithms for the prediction of fuel properties in comparison with state of the art physical models
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hall, ClemensUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rauch, BastianUNSPECIFIEDhttps://orcid.org/0000-0002-1393-5943UNSPECIFIED
Bauder, UweUNSPECIFIEDhttps://orcid.org/0000-0002-5019-6043UNSPECIFIED
Le Clercq, PatrickUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Aigner, ManfredUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2019
Journal or Publication Title:Proceedings of the 16th International Conference on Stability, Handling and Use of Liquid Fuels 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Status:Published
Keywords:machine learning, fuel properties, alternative fuels
Event Title:16th International Conference on Stability, Handling and Use of Liquid Fuels (IASH2019)
Event Location:Long Beach, USA
Event Type:international Conference
Event Start Date:8 September 2019
Event End Date:12 September 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:propulsion systems
DLR - Research area:Aeronautics
DLR - Program:L ER - Engine Research
DLR - Research theme (Project):L - Virtual Engine and Validation methods (old)
Location: Stuttgart
Institutes and Institutions:Institute of Combustion Technology > Multiphase flow and Alternative Fuels
Deposited By: Geigle, Dr. Klaus Peter
Deposited On:22 Jun 2020 07:57
Last Modified:24 Apr 2024 20:33

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