A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Prediction of Cumulative Absolute Velocity Based on Refined Second-order Deep Neural Network
This study aims to develop a reliable ground motion model (GMM) for CAV by using ground motion (GM) recordings from the PEER NGA-West2 database. A total of 17,684 GM recordings are chosen and randomly separated into the training, validation, and testing datasets. The DNN is advanced by incorporating the refined second-order (RSO) neuron. The effect of seismological and site-specific parameters on the predicted CAV is investigated. The comparative assessment of four existing models with the RSO-DNN model of this study highlights the superior prediction skill of the latter one since the RSO-DNN model is found to be associated with considerably less error.
Prediction of Cumulative Absolute Velocity Based on Refined Second-order Deep Neural Network
This study aims to develop a reliable ground motion model (GMM) for CAV by using ground motion (GM) recordings from the PEER NGA-West2 database. A total of 17,684 GM recordings are chosen and randomly separated into the training, validation, and testing datasets. The DNN is advanced by incorporating the refined second-order (RSO) neuron. The effect of seismological and site-specific parameters on the predicted CAV is investigated. The comparative assessment of four existing models with the RSO-DNN model of this study highlights the superior prediction skill of the latter one since the RSO-DNN model is found to be associated with considerably less error.
Prediction of Cumulative Absolute Velocity Based on Refined Second-order Deep Neural Network
Ji, Duofa (author) / Liu, Jin (author) / Wen, Weiping (author) / Zhai, Changhai (author) / Wang, Wei (author) / Katsanos, Evangelos I. (author)
Journal of Earthquake Engineering ; 26 ; 8021-8040
2022-11-18
20 pages
Article (Journal)
Electronic Resource
Unknown
A simple ground‐motion prediction model for cumulative absolute velocity and model validation
| Online Contents | 2013
Simulation of Cumulative Absolute Velocity Consistent Endurance Time Excitations
| Taylor & Francis Verlag | 2021