[SSS14-P35] Broadband ground motion waveform synthesis utilizing AI-based upsampling technique
Keywords:broadband ground motion waveform synthesis, coupled learning method, artificial intelligence
The problem of predicting broadband ground motion from long-period ground motion can be regarded as a problem of upsampling; predicting missing short-period components and synthesizing high-sampling data from low-sampling data lacking short-period component. In this study, we apply the coupled learning method which is one of the machine-learning methods to this problem. We will report the result of the basic study to perform broadband ground motion waveform synthesis.
Acknowledgments: This study was conducted as part of joint research with RIKEN.