Deep transfer learning for complicated seismic dynamic response prediction of slope system

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.