Proposed machine learning techniques for bridge structural health monitoring: a laboratory study

HIGHLIGHTS

  • who: Azadeh Noori Hoshyar and colleagues from the Institute of Innovation, Science and Sustainability, Federation University Australia have published the paper: Proposed Machine Learning Techniques for Bridge Structural Health Monitoring: A Laboratory Study, in the Journal: (JOURNAL)
  • what: The authors propose four classification algorithms to SHM which uses the concepts of support vector machine (SVM) algorithm. As per the knowledge , no studies have previously used the first algorithm referenced in this paper in SHM application, and no researcher has investigated the combination of chosen kernels and classifiers of this study. In table design, the main . . .

     

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