Machine learning device of amount of unburned fuel, machine learning method, learned model, electronic control unit, method of production of electronic control unit, and machine learning system
US10991174B2 · kind B2 · utility
2Cited by
21References
7Claims
0Family size
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Key dates
| Filing date | Jun 13, 2018 |
| Grant date | Apr 27, 2021 |
| Priority date | — |
| Expiry date | Mar 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG07C5/008
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning device of an amount of unburned fuel using a neural network in which the correlation functions showing correlations between parameters and an amount of unburned fuel are found for parameters relating to operation of an internal combustion engine, and the parameters with strong degrees of correlation with the amount of unburned fuel exhausted from the engine are selected from among the parameters based on the correlation functions. The amount of unburned fuel is learned by using the neural network from the selected parameters and amount of unburned fuel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.