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Ein Selbstlernender Optimierungsalgorithmus Zur Virtuellen Steuergeräteapplikation
Paperback
Series: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgar
ISBN13: 9783658419714
Publisher: Springer Vieweg
Published: Jun 1 2023
Pages: 179
Weight: 0.57
Height: 0.45 Width: 5.83 Depth: 8.27
Language: German
Marco Scheffmann stellt einen neuartigen multikriteriellen Lösungsalgorithmus für die Erzeugung optimaler Datensätze von Fahrzeugsteuergeräten vor. Im Gegensatz zu verbreiteten, zumeist evolutionären Ansätzen wendet der Autor hier einen Ansatz des bestärkenden Lernens an. Infolge der eigenständigen Entwicklung zielgerichteter Handlungsstrategien kann damit auf sonst häufig eingesetzte vorangestellte Methoden der statistischen Versuchsplanung und der Metamodellbildung verzichtet werden. Zur subjektiven Betrachtung von optimierten Datensätzen dient ihm die echtzeitfähige Verkopplung der vollbeweglichen Fahrsimulation mit virtualisierten Steuergeräten. Seine abschlie ende Probandenstudie bestätigt die Ergebnisse des vorgestellten methodischen Ansatzes.
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