Learning method, learning system, and learning program
AssigneeToyota Jidosha Kabushiki Kaisha
InventorTaro Takahashi
Life of this patent
Estimating the term…
Abstract
To reduce a learning time while improving learning accuracy. A learning method includes generating first time-series data by performing sampling from a predetermined sensor value at a first sampling cycle, generating second time-series data by performing sampling from the predetermined sensor value at a second sampling cycle different from the first sampling cycle, and generating learning data by combining the generated first and second time-series data with each other, and performing learning by using the generated learning data.
Claims9
A learning method comprising:
- generating first time-series data by performing sampling from a predetermined sensor value at a first sampling cycle, generating second time-series data by performing sampling from the predetermined sensor value at a second sampling cycle different from the first sampling cycle, and generating learning data by combining the generated first and second time-series data with each other;
- and
- performing learning by using the generated learning data.
A learning system comprising:
- a data generation unit that generates first time-series data by performing sampling from a predetermined sensor value at a first sampling cycle, generates second time-series data by performing sampling from the predetermined sensor value at a second sampling cycle different from the first sampling cycle, and generates learning data by combining the generated first and second time-series data with each other;
- and
- a learning unit that performs learning by using the learning data generated by the data generation unit.
A non-transitory computer readable medium storing a learning program for causing a computer to execute:
- a process for generating first time-series data by performing sampling from a predetermined sensor value at a first sampling cycle, generating second time-series data by performing sampling from the predetermined sensor value at a second sampling cycle different from the first sampling cycle, and generating learning data by combining the generated first and second time-series data with each other;
- and
- a process for performing learning by using the generated learning data.
Dependencies are inferred from the claim text.