Machine learning in architecture

• Published in: Automation in construction Vol. 154; p. 105012
• Main Authors: Topuz, Beyza, Çakici Alp, Neşe
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2023
• Subjects: Machine learning algorithms; Machine learning in architecture; Machine learning libraries; Machine learning platforms; Systematic review; Machine learning in architecture; Machine learning platforms; Systematic review; Machine learning libraries; Machine learning algorithms
• ISSN: 0926-5805; 1872-7891
• DOI: 10.1016/j.autcon.2023.105012

This paper explores the utilisation of machine learning in architecture, focusing on the addressed problems and commonly employed programming languages, software, platforms, libraries, and algorithms. Eight major academic search and publishing platforms were systematically reviewed, covering the period from 2007 to 2022, resulting in the selection of 60 relevant articles from a pool of 175. The articles were categorised based on their thematic focus, primarily centring around Computer-Aided Design (CAD), Computer-Aided Engineering (CAE), and Computer-Aided Manufacturing (CAM). By evaluating the current state of machine learning in architecture, this study provides valuable insights into its usage and identifies potential areas for future research. This paper contributes to a comprehensive understanding of the evolving landscape of machine learning in the field by investigating subfields within architecture and the specific tools used to tackle architectural challenges. •Conducting a systematic review to investigate the application of machine learning in architecture.•Examining the subfields of architecture that have been studied through machine learning and the problems addressed within them.•Analysing the utilisation of programming languages, software, machine learning platforms, programming libraries, and machine learning algorithms in architecture.•Focusing on published works between 2007 and 2022 that utilize machine learning in the field of architecture.