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:
Sep. 13, 2022

Filed:

Dec. 30, 2019
Applicant:

Toyota Jidosha Kabushiki Kaisha, Aichi-ken, JP;

Inventors:

Keisuke Fukuoka, Fujieda, JP;

Shunsuke Kobuna, Shizuoka-ken, JP;

Eiki Kitagawa, Odawara, JP;

Daiki Yokoyama, Gotemba, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06N 3/08 (2006.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G05D 1/0221 (2013.01); G05D 1/0219 (2013.01); G05D 1/0223 (2013.01); G06K 9/6256 (2013.01); G06N 3/08 (2013.01); G05D 2201/0213 (2013.01);
Abstract

A machine learning system comprises a learning planning partconfigured to create a learning plan of a neural network model, a data set creating partconfigured to create training data sets, a learning partconfigured to perform learning of the neural network model using the training data sets when the vehicle is stopped, and a stopping period predicting partconfigured to predict stopping periods of the vehicle. The data set creating part is configured to allocate the training data sets to a plurality of learning regions determined based on respective ranges of the plurality of input parameters. The learning part is configured to perform learning of the neural network model for each learning region. The learning planning part is configured to allocate the plurality of learning regions to the stopping periods so that learning of the neural network model is not suspended during the stopping periods.


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