Computation of Air Traffic Flow Management Performance with Long Short-Term Memories considering Weather Impact

Reitmann, Stefan and Schultz, Michael (2018) Computation of Air Traffic Flow Management Performance with Long Short-Term Memories considering Weather Impact. International Conference on Artificial Neural Networks (ICANN), 2018-10-04 - 2018-10-07, Rhodos, Griechenland. doi: 10.1007/978-3-030-01421-6_51.

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/121358/

Document Type:

Conference or Workshop Item (Poster)

Title:

Computation of Air Traffic Flow Management Performance with Long Short-Term Memories considering Weather Impact

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Reitmann, Stefan	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Schultz, Michael	UNSPECIFIED	https://orcid.org/0000-0003-4056-8461	UNSPECIFIED

Date:

October 2018

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

DOI:

10.1007/978-3-030-01421-6_51

Status:

Published

Keywords:

Neuronale Netze, Zeitreihen, Wetter

Event Title:

International Conference on Artificial Neural Networks (ICANN)

Event Location:

Rhodos, Griechenland

Event Type:

international Conference

Event Start Date:

4 October 2018

Event End Date:

7 October 2018

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Aeronautics

HGF - Program Themes:

air traffic management and operations

DLR - Research area:

Aeronautics

DLR - Program:

L AO - Air Traffic Management and Operation

DLR - Research theme (Project):

L - Air Traffic Concepts and Operation (old)

Location:

Braunschweig

Institutes and Institutions:

Institute of Flight Guidance > Air traffic systems

Deposited By:

Reitmann, Stefan

Deposited On:

05 Nov 2018 11:35

Last Modified:

04 Jun 2024 12:43

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