Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
Innovative electric propulsion systems are increasingly applied to off-highway machines, to gain efficiency optimization of the work process. This book focuses on the aspect of work process optimization and achieves forward-looking results through the use of intelligent, adaptive overall machine man...
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| Main Author: | |
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| Format: | Electronic Book Chapter |
| Published: |
KIT Scientific Publishing
2018
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| Series: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 020 | |a 9783731507741 | ||
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| 245 | 1 | 0 | |a Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme |
| 260 | |b KIT Scientific Publishing |c 2018 | ||
| 300 | |a 1 electronic resource (XVI, 150 p. p.) | ||
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| 490 | 1 | |a Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Innovative electric propulsion systems are increasingly applied to off-highway machines, to gain efficiency optimization of the work process. This book focuses on the aspect of work process optimization and achieves forward-looking results through the use of intelligent, adaptive overall machine management. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a German | ||
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 653 | |a Elektrische Antriebssysteme | ||
| 653 | |a Maschinelles Lernen | ||
| 653 | |a off-highway machines | ||
| 653 | |a data mining | ||
| 653 | |a Data Mining | ||
| 653 | |a Künstliche Intelligenz | ||
| 653 | |a machine learning | ||
| 653 | |a Deep Learning | ||
| 653 | |a artificial intelligence | ||
| 653 | |a deep learning | ||
| 653 | |a Electric propulsion systems | ||
| 653 | |a Intelligentes Gesamtmaschinenmanagement | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/50440 |7 0 |z DOAB: description of the publication |