Patent ID: 11947061
Assignee: KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. An earthquake event classification device using an attention-based neural network, comprising:
one or more processors configured to execute instructions stored in a memory, thereby configuring the one or more processors to:
preprocess input earthquake data by centering;
control a plurality of convolution layers having three or more layers to:
extract a feature map by nonlinearly converting the preprocessed earthquake data,
measure an importance value of a learned feature of the nonlinear-converted earthquake data based on an attention technique in which interdependence between channels of the feature map is modeled,
correct a feature value of the measured importance value through element-wise multiply with the learned feature map, and
perform down-sampling through max-pooling based on the corrected feature value; and

control first and second fully-connected (FC) layers to classify an earthquake event by regularizing the down-sampled feature value.