Artificial neural network and method of training an artificial neural network with epigenetic neurogenesis
US-2020125930-A1 · Apr 23, 2020 · US
Machine learning device and machine learning system
US2022055635A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2022055635-A1 |
| Application number | US-202117405390-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 18, 2021 |
| Priority date | Aug 20, 2020 |
| Publication date | Feb 24, 2022 |
| Grant date | — |
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- Title
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- Abstract
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- Assignees and inventors
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- Key dates
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- First independent claim
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- CPC / IPC classifications
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Abstract
Official abstract text for this publication.
The machine learning device includes a predicting part configured to use a machine learning model to predict predetermined information, an updating part configured to update the machine learning model, and a part information acquiring part configured to detect replacement of a vehicle part and acquire identification information of the vehicle part after replacement. The updating part is configured to receive a new machine learning model trained using training data sets corresponding to the vehicle part after replacement from a server and apply the new machine learning model to the vehicle, if a vehicle part relating to input data of the machine learning model is replaced with a vehicle part of a different configuration.
First claim
Opening claim text (preview).
1 . A machine learning device provided in a vehicle, comprising a processor configured to: use a machine learning model to predict predetermined information; update the machine learning model; detect replacement of a vehicle part and acquire identification information of the vehicle part after replacement; and receive a new machine learning model trained using training data sets corresponding to the vehicle part after replacement from a server and apply the new machine learning model to the vehicle, if a vehicle part relating to input data of the machine learning model is replaced with a vehicle part of a different configuration. 2 . The machine learning device according to claim 1 , wherein the processor is configured to transmit identification information of the vehicle part after replacement and identification information of the vehicle to the server, and the new machine learning model is a machine learning model corresponding to the identification information of the vehicle. 3 . The machine learning device according to claim 1 , wherein the machine learning model is a neural network model. 4 . A machine learning system comprising a server and a vehicle, wherein the server comprises: a first communication device able to communicate with the vehicle; and a first processor, the vehicle comprises: a second communication device able to communicate with the server; and a second processor configured to use a machine learning model to predict predetermined information, update the machine learning model, detect replacement of a vehicle part and acquire identification information of the vehicle part after replacement, the second processor is configured to transmit identification information of the vehicle part after replacement to a server, if a vehicle part relating to input data of the machine learning model is replaced with a vehicle part of a different configuration, the first processor is configured to transmit a new machine learning model trained using training data sets corresponding to the vehicle part after replacement to the vehicle, and the second processor is configured to apply the new machine learning model to the vehicle.
Assignees
Inventors
Classifications
External transmission of data to or from the vehicle · CPC title
related to parameters of the vehicle itself {, e.g. tyre models} · CPC title
Monitoring the functioning of the control system · CPC title
- G05B13/042Primary
in which a parameter or coefficient is automatically adjusted to optimise the performance · CPC title
- G06N3/084Primary
Backpropagation, e.g. using gradient descent · CPC title
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Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US2022055635A1 cover?
- The machine learning device includes a predicting part configured to use a machine learning model to predict predetermined information, an updating part configured to update the machine learning model, and a part information acquiring part configured to detect replacement of a vehicle part and acquire identification information of the vehicle part after replacement. The updating part is configu…
- Who is the assignee on this patent?
- Toyota Motor Co Ltd
- What technology area does this patent fall under?
- Primary CPC classification G05B13/042. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Feb 24 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).