reviewEarthquake SpectraJun 3, 2020Closed access

The promise of implementing machine learning in earthquake engineering: A state‐of‐the‐art review

McGill University · Rice University

Indexed incrossref

Abstract

Machine learning (ML) has evolved rapidly over recent years with the promise to substantially alter and enhance the role of data science in a variety of disciplines. Compared with traditional approaches, ML offers advantages to handle complex problems, provide computational efficiency, propagate and treat uncertainties, and facilitate decision making. Also, the maturing of ML has led to significant advances in not only the main‐stream artificial intelligence (AI) research but also other science and engineering fields, such as material science, bioengineering, construction management, and transportation engineering. This study conducts a comprehensive review of the progress and challenges of implementing ML in…

Citation impact

464
total citations
FWCI
32.37
Percentile
100%
References
268
Citations per year

Authors

4

Topics & keywords

Keywords
  • Variety (cybernetics)
  • Identification (biology)
  • Computer science
  • Earthquake engineering
  • Field (mathematics)
  • Categorization
  • Engineering
  • Resource (disambiguation)
No related works found for this paper.