The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 03, 2023

Filed:

Apr. 20, 2020
Applicant:

Shibaura Machine Co., Ltd., Chiyoda-ku, JP;

Inventors:

Kentaro Ishibashi, Numazu, JP;

Yuta Suzuki, Numazu, JP;

Assignee:

Shibaura Machine CO., LTD., Chiyoda-ku, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 50/04 (2012.01); B22F 10/20 (2021.01); B22F 10/25 (2021.01); B22F 12/90 (2021.01); B29C 64/393 (2017.01); B33Y 30/00 (2015.01); B33Y 50/02 (2015.01); G05B 13/02 (2006.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06N 3/084 (2023.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); B22F 12/37 (2021.01); B22F 12/53 (2021.01); B22F 10/322 (2021.01);
U.S. Cl.
CPC ...
G06Q 50/04 (2013.01); B22F 10/20 (2021.01); B22F 10/25 (2021.01); B22F 12/90 (2021.01); B29C 64/393 (2017.08); B33Y 30/00 (2014.12); B33Y 50/02 (2014.12); G05B 13/024 (2013.01); G05B 13/027 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06N 3/084 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); B22F 10/322 (2021.01); B22F 12/37 (2021.01); B22F 12/53 (2021.01); G06V 2201/06 (2022.01);
Abstract

A machine learning method according to an embodiment is a machine learning method performed by a computer and includes the steps of: allowing a calculator to calculate output information from each of items of input information; determining whether the output information is correct or incorrect based on the output information and answer information set for the plurality of pieces of input information; allowing the calculator to calculate the output information from each of at least one first input information, which is included in the plurality of pieces of input information and corresponds to the output information determined to be incorrect, and at least one second input information included in the plurality of pieces of input information; and changing the calculator based on the output information.


Find Patent Forward Citations

Ishibashi, Kentaro. (2023). Machine learning method, information processing device, computer program product, and additive manufacturing monitoring system (U.S. Patent No. 11776072). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11776072

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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