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:
Jul. 28, 2026

Filed:

Jun. 12, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Satoshi Masuda, Tokyo, JP;

Takayuki Katsuki, Tokyo, JP;

Kugamoorthy Gajananan, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/09 (2012.01); G06F 17/18 (2006.01); G06F 30/20 (2020.01); G06F 30/27 (2020.01); G06N 20/10 (2019.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
B60W 30/09 (2013.01); G06F 17/18 (2013.01); G06F 30/20 (2020.01); G06F 30/27 (2020.01); G06N 20/10 (2019.01); G06V 20/58 (2022.01);
Abstract

Predicting simulation parameters is performed by obtaining a plurality of datasets, each dataset including simulation parameters, time series data and a label. Wherein the time series data represents a simulation status for each time and the label represents a simulation result. Learning a metric of the simulation parameters including two datasets of the plurality of datasets. Wherein the metric imitates the similarity of time series data of the two datasets, and training a model for predicting the label for simulation parameters by using the metric.


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