The Resource A deep learning approach for TNC trip demand prediction considering spatial-temporal features : preprint, Yi Hou [and four others]

A deep learning approach for TNC trip demand prediction considering spatial-temporal features : preprint, Yi Hou [and four others]

Label
A deep learning approach for TNC trip demand prediction considering spatial-temporal features : preprint
Title
A deep learning approach for TNC trip demand prediction considering spatial-temporal features
Title remainder
preprint
Statement of responsibility
Yi Hou [and four others]
Title variation
Deep learning approach for transportation network companies trip demand prediction considering spatial-temporal features
Creator
Contributor
Author
Issuing body
Subject
Genre
Language
eng
Member of
Cataloging source
GPO
http://library.link/vocab/creatorName
Hou, Yi
Government publication
federal national government publication
Illustrations
  • illustrations
  • maps
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
National Renewable Energy Laboratory (U.S.)
Series statement
Conference paper NREL/CP
Series volume
5400-72704
http://library.link/vocab/subjectName
  • National Research Council (U.S.)
  • Artificial intelligence
Label
A deep learning approach for TNC trip demand prediction considering spatial-temporal features : preprint, Yi Hou [and four others]
Instantiates
Publication
Note
  • "Presented at Transportation Research Board (TRB) 98th Annual Meeting Washington, D.C., January 13-17, 2019."
  • "NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy, Operated by the Alliance for Sustainable Energy, LLC."
Bibliography note
Includes bibliographical references (7 pages)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
1089449747
Extent
1 online resource (7 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
color illustrations, color map.
Specific material designation
remote
Label
A deep learning approach for TNC trip demand prediction considering spatial-temporal features : preprint, Yi Hou [and four others]
Publication
Note
  • "Presented at Transportation Research Board (TRB) 98th Annual Meeting Washington, D.C., January 13-17, 2019."
  • "NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy, Operated by the Alliance for Sustainable Energy, LLC."
Bibliography note
Includes bibliographical references (7 pages)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
1089449747
Extent
1 online resource (7 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
color illustrations, color map.
Specific material designation
remote

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