Approximation of simulation-derived visual comfort indicators in office spaces: A comparative study in machine learning

dc.contributor.author	Chatzikonstantinou, I.
dc.contributor.author	Sariyildiz, I.S.
dc.date.accessioned	2021-01-25T20:49:15Z
dc.date.available	2021-01-25T20:49:15Z
dc.date.issued	2016
dc.identifier	10.1080/00038628.2015.1072705
dc.identifier.issn	00038628
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939203380&doi=10.1080%2f00038628.2015.1072705&partnerID=40&md5=292ffd9cc3abcc1ebfa77fdb405f8da4
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10189
dc.description.abstract	In performance-oriented architectural design, the use of advanced computational simulation tools may provide valuable insight during design. However, the use of such tools is often a bottleneck in the design process, given that computational requirements
dc.language.iso	English
dc.publisher	Architectural Science Review
dc.title	Approximation of simulation-derived visual comfort indicators in office spaces: A comparative study in machine learning
dc.type	Article
dc.relation.firstpage	307
dc.relation.lastpage	322
dc.relation.volume	59
dc.relation.issue	4
dc.description.affiliations	Department of Architecture, Yaşar University, Selçuk Yaşar Campus, Üniversite Caddesi No:35-37, Bornova, İzmir 35100, Turkey; Design Informatics, Faculty of Architecture, Delft University of Technology, Julianalaan 134, Delft, 2628 BL, Netherlands

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