2026-10-12T12:36:31Z https://www.scidb.cn/oai

10.57760/sciencedb.09027 2023-06-21T09:34:05Z

2023-06-21 Deep transfer learning for complicated seismic dynamic response prediction of slope system doi:10.57760/sciencedb.09027 en we propose a multitask deep transfer learning (M-DTL) framework to accurately predict slope seismic stability using limited data. The dynamic response at locations without accessible sensor data can be predicted well using a newly developed M-DTL algorithm. To collect the necessary sensor data, we conducted a series of physics experiments using the largest multifunctional shaking table equipment in the world. slope dynamic response; deep transfer learning; multi-task learning Jin Xiaoyan PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank