A Deep Learning Algorithms to Generate Activity Sequences Using Historical As-built Schedule Data

Author	Alikhani, Hamed
Author	Le, Chau
Author	Jeong, H. David
Date Accessioned	2020-08-05T11:55:30Z
Date Available	2020-08-05T11:55:30Z
Date Issued	2020-07-01
URI	http://hdl.handle.net/10890/13457
Language	en
Title	A Deep Learning Algorithms to Generate Activity Sequences Using Historical As-built Schedule Data
Type	könyvfejezet
Access Rights	Open access
Rights Holder	Szerző
Rights Holder	Szerző	hu_HU
Conference Date	2020. június 28-júlus 1.
Conference Place	Online
Conference Title	Creative Construction e-Conference 2020
Date Issued	2020-07-01
ISBN, e-ISBN	978-615-5270-61-1
Publisher	Budapest University of Technology and Economics
PLace	Online
Title	Proceedings of the Creative Construction e-Conference 2020
Department	Építéstechnológia és Menedzsment Tanszék
Version	Post print
Faculty	Faculty of Architecture
First Page	2
DOI	10.3311/CCC2020-039
Last Page	6
Subject Area	Műszaki tudományok
Subject Field	Építészmérnöki tudományok
Subject Word (OSZKAR)	Creative Scheduling in Construction
Gender	Konferenciacikk
University	Budapest University of Technology and Economics

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