Intelligent determination of peak ground motion parameters based on intensity assessed by artificial neural network

Artificial Neural Network (ANN) model of computation based on mathematical model of neural processes is applied to establish an intelligent computing network from seismic intensity to peak ground parameter instead of the conventional statistical relationship in this paper. For a give seismic intensity rating, the network formed with actual strong ground motion records directly produces the corresponding peak ground parameters and the effects of earthquake magnitude and epicentral distance are included. The computed results of the network trained with a number of strong motion records in the West America show that such networks have obtained good conversion relationship from seismic intensity to peak ground parameters. The Chinese version of this paper appeared in the Chinese edition ofActa Seismologica Sinica,15, 208–216, 1993.