Abstract:This paper examines the advantages and drawbacks of the use of a functional form in empirical ground-motion modelling compared to machine learning algorithms. Typically, models based on linear regression and predefined functional forms have limits in representing complex nonlinear behaviour of source, attenuation and site effects present in the data. We investigate the efficiency of different machine learning algorithms using the dataset of Italian strong motion records, consisting of 5,607 records relative to… Show more
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