Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies

HIGHLIGHTS

• who: Ahmed Boudghene Stambouli from the (UNIVERSITY) have published the Article: Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies, in the Journal: (JOURNAL)
• what: The aim of this study is to provide a quantitative assessment of the performance of various site condition proxies to predict the main AF features including the often used shortand mid-period amplification factors Fa and Fv proposed by Borcherdt (in Earthq Spectra 10:617-653 The aim is to ensure a representative average amplification factor that is unbiased by spectral contents . . .
  

   

  

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