Invention Publication
- Patent Title: APPARATUS FOR NON-DETERMINISTIC FUTURE STATE PREDICTION USING TIME SERIES DATA AND OPERATION METHOD THEREOF
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Application No.: US18504214Application Date: 2023-11-08
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Publication No.: US20240193417A1Publication Date: 2024-06-13
- Inventor: Hwin Dol PARK , Do Hyeun KIM , Jae Hun CHOI
- Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Applicant Address: KR Daejeon
- Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee Address: KR Daejeon
- Priority: KR 20220174047 2022.12.13
- Main IPC: G06N3/08
- IPC: G06N3/08

Abstract:
Disclosed is an apparatus, which includes a preprocessor that generates raw data, generates preprocessed time series data, and generates preprocessed learning data, and a learner that receives the preprocessed learning data as input data and trains a prediction model such that the similarity between a first future state predicted using the input data and a second future state predicted using data included in the same cluster as the input data increases and such that the similarity between the first future state and a third future state predicted using data included in a different cluster from the input data decreases, and the prediction model is a machine learning model for predicting a future state of the time series data at an arbitrary time point.
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