Title:
装置、方法、プログラム、および、記録媒体
Document Type and Number:
Japanese Patent JP7011239
Kind Code:
B2
Abstract:
When simply performing machine learning, there are a huge number of parameters to be learned, the time needed until the learning converges is unrealistically long, and there are cases where the learning does not converge, and therefore it is impossible to calculate the control conditions recommended for the manipulated devices. Provided is an apparatus including a plurality of agents that each set some devices among a plurality of devices provided in a facility to be target devices, wherein each of the plurality of agents includes a state acquiring section that acquires state data indicating a state of the facility; a control condition acquiring section that acquires control condition data indicating a control condition of each target device; and a learning processing section that uses learning data including the state data and the control condition data to perform learning processing of a model that outputs recommended control condition data indicating a control condition recommended for each target device in response to input of the state data.
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Inventors:
Takamitsu Matsubara
Choe Yun
Zhu decree
Hiroaki Kagoki
Morihiro Fujisaki
▲高▼見 豪
Youta Furukawa
Choe Yun
Zhu decree
Hiroaki Kagoki
Morihiro Fujisaki
▲高▼見 豪
Youta Furukawa
Application Number:
JP2018153340A
Publication Date:
January 26, 2022
Filing Date:
August 17, 2018
Export Citation:
Assignee:
Yokogawa Electric Corporation
National University Corporation Nara Institute of Science and Technology
National University Corporation Nara Institute of Science and Technology
International Classes:
G05B23/02; G06N20/00
Domestic Patent References:
| JP2004178492A | ||||
| JP2011197714A |
Other References:
2016 IEEE-RAS 16th International Conference on Humanoid Robots(Humanoids),MX,IEEE,2016年11月15日,p.662-667
Attorney, Agent or Firm:
Longhua International Patent Service Corporation