Körber, Marian Karl and Najjaran, Homayoun (2019) Learn and optimize complex manufacturing processes in a virtual environment based on machine learning methods. 5th Colloquium on Production Technology, 15. Mai 2019, Augsburg.
Full text not available from this repository.
Item URL in elib: | https://elib.dlr.de/131176/ | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
Title: | Learn and optimize complex manufacturing processes in a virtual environment based on machine learning methods | ||||||||||||
Authors: |
| ||||||||||||
Date: | 15 May 2019 | ||||||||||||
Refereed publication: | No | ||||||||||||
Open Access: | No | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | No | ||||||||||||
In ISI Web of Science: | No | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | neural network, artificial intelligence, automation, production, virtual learning, machine learning | ||||||||||||
Event Title: | 5th Colloquium on Production Technology | ||||||||||||
Event Location: | Augsburg | ||||||||||||
Event Type: | national Conference | ||||||||||||
Event Dates: | 15. Mai 2019 | ||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
HGF - Program: | Aeronautics | ||||||||||||
HGF - Program Themes: | fixed-wing aircraft | ||||||||||||
DLR - Research area: | Aeronautics | ||||||||||||
DLR - Program: | L AR - Aircraft Research | ||||||||||||
DLR - Research theme (Project): | L - Simulation and Validation (old), L - Structures and Materials (old) | ||||||||||||
Location: | Augsburg | ||||||||||||
Institutes and Institutions: | Institute of Structures and Design > Automation and Production Technology Institute of Structures and Design | ||||||||||||
Deposited By: | Körber, Marian Karl | ||||||||||||
Deposited On: | 28 Nov 2019 10:54 | ||||||||||||
Last Modified: | 22 Jan 2021 21:11 |
Repository Staff Only: item control page