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What is Seismic Loss Estimation Using DNN-GP Model about?

This research article presents a novel Gaussian process model parameterized by deep neural networks (DNN–GP) for assessing seismic losses in dense urban districts. The framework utilizes three DNN models to predict mean, standard deviation, and correlation of structural responses, enabling efficient regional seismic loss estimation while reducing the need for extensive simulations. The study demonstrates the model

Author

Phạm Quang Vinh

Language

EN