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In this letter, we propose an earthquake event classification model utilizing a feedback network and curriculum learning (CL). In particular, we propose the CL method with a feature concatenation using… Click to show full abstract
In this letter, we propose an earthquake event classification model utilizing a feedback network and curriculum learning (CL). In particular, we propose the CL method with a feature concatenation using gated convolution so that CL can be effectively performed in consideration of the feedback structure. We show that the proposed model is effective through comparison experiments with the existing model using the earthquake dataset for Korean Peninsula and the Stanford earthquake dataset.
Keywords:
curriculum learning;
earthquake event;
feedback network;
event classification;
network curriculum;
earthquake
Journal Title: IEEE Geoscience and Remote Sensing Letters
Year Published: 2022
Link to full text (if available)
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Journal Title: IEEE Geoscience and Remote Sensing Letters
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!