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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, 2019-05-15, Augsburg.
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| Item URL in elib: | https://elib.dlr.de/131176/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | Learn and optimize complex manufacturing processes in a virtual environment based on machine learning methods | ||||||||||||
| Authors: |
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| 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 Date: | 15 May 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: | 24 Apr 2024 20:34 |
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