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公开(公告)号:US20180283723A1
公开(公告)日:2018-10-04
申请号:US15941687
申请日:2018-03-30
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hyun-woo OCK , Min-kyong KIM , Tan KIM , Hyung-seon SONG , Dong-jun SHIN , Sung-bin IM , Hyeong-joon SEO , Young-ju JOO
Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.
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公开(公告)号:US20220018567A1
公开(公告)日:2022-01-20
申请号:US17489084
申请日:2021-09-29
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hyun-woo OCK , Min-kyong KIM , Tan KIM , Hyung-seon SONG , Dong-jun SHIN , Sung-bin IM , Hyeong-joon SEO , Young-ju JOO
Abstract: An apparatus and a method for a data learning server is provided. The apparatus of the disclosure includes a communicator configured to communicate with an external device, at least one processor configured to acquire a set temperature set in an air conditioner and a current temperature of the air conditioner at the time of setting the temperature via the communicator, and a generate or renew a learning model using the set temperature and the current temperature, and a storage configured to store the generated or renewed learning model to provide a recommended temperature to be set in the air conditioner as a result of generating or renewing the learning model. For example, the data learning server of the disclosure may generate a learned learning model to provide a recommended temperature using a neural network algorithm, a deep learning algorithm, a linear regression algorithm, or the like as an artificial intelligence algorithm.
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