Invention Application
- Patent Title: LEARNING APPARATUS AND METHOD, PREDICTION APPARATUS AND METHOD, AND COMPUTER READABLE MEDIUM
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Application No.: US17431261Application Date: 2019-02-19
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Publication No.: US20220128988A1Publication Date: 2022-04-28
- Inventor: Azusa SAWADA , Takashi SHIBATA , Katsuhiko TAKAHASHI
- Applicant: NEC Corporation
- Applicant Address: JP Minato-ku, Tokyo
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP Minato-ku, Tokyo
- International Application: PCT/JP2019/005848 WO 20190219
- Main IPC: G05B23/02
- IPC: G05B23/02

Abstract:
A data-series group includes data series which is a series of data obtained by observing the same object at discrete times. Time labels are time information added to respective data included in the data-series group. State labels are added to some of the data included in the data-series group. A loss-function control unit determines a loss function to be used for learning based on the time labels and the state labels. A threshold is used to adjust a branch condition of the loss-function control unit. A regressor is a model, and is used to detect an abnormality or predict a remaining life span. A dictionary stores parameters of the regressor. A regressor training unit trains the regressor based on the loss function determined by the loss-function control unit.
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