公开(公告)号：US20250078811A1

公开(公告)日：2025-03-06

申请号：US18544196

申请日：2023-12-18

Applicant: Dong-eui University Industry-Academic Cooperation Foundation

Inventor： Sunghyun Sim

IPC: G10L15/06 ,  G09B7/00 ,  G10L25/30 ,  G10L25/78

Abstract: Provided are a method and system for providing time-series prediction deep learning neural network by a time-series prediction application run by at least one processor of a terminal include: training a temporal relation-effect layer module; inputting first time point time-series data into the temporal relation-effect layer module; acquiring second time point time-series data according to the first time point time-series data from the temporal relation-effect layer module; and providing the second time point time-series data, wherein the temporal relation-effect layer module includes a temporal decomposition gate module, a temporal relation gate module, and a temporal effect gate module.