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Entwurf eines variablen Regressionsmodells zur Vorhersage von direkten Betriebskosten von Verkehrsflugzeugen mittels Machine Learning Methoden

Bernhardt, Niklas (2019) Entwurf eines variablen Regressionsmodells zur Vorhersage von direkten Betriebskosten von Verkehrsflugzeugen mittels Machine Learning Methoden. Project thesis, Technische Universität Hamburg.

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Item URL in elib:https://elib.dlr.de/185744/
Document Type:Thesis (Project thesis)
Title:Entwurf eines variablen Regressionsmodells zur Vorhersage von direkten Betriebskosten von Verkehrsflugzeugen mittels Machine Learning Methoden
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bernhardt, NiklasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:12 December 2019
Refereed publication:Yes
Open Access:No
Number of Pages:92
Status:Published
Keywords:Betriebskosten, Machine Learning
Institution:Technische Universität Hamburg
Department:Institut für Lufttransportsysteme
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Air Transport Operations and Impact Assessment
Location: Hamburg
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul > Product Life Cycle Management
Deposited By: Wicke, Kai
Deposited On:16 Mar 2022 09:11
Last Modified:16 Mar 2022 09:11

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