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Machine learning and complex compositional principles in architecture: Application of convolutional neural networks for generation of context-dependent spatial compositions

Author(s): ORCID (Faculty of Architecture (Katedra Projektowania Urbanistycznego i Krajobrazu Wiejskiego), Warsaw University of Technology, Warszawa, UK)
Medium: journal article
Language(s): English
Published in: International Journal of Architectural Computing, , n. 2, v. 20
Page(s): 147807712110668
DOI: 10.1177/14780771211066877
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14780771211066877.
  • About this
    data sheet
  • Reference-ID
    10660330
  • Published on:
    28/03/2022
  • Last updated on:
    13/08/2022
 
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