Patent · US Active

Method and device for generating a machine learning system and virtual sensor device

US11151475B2 · kind B2 · utility

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10Claims

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Assignee

Robert Bosch GmbH · DE

Inventors

Volker Imhof · Kornwestheim, DE
Ernst Kloppenburg · Ditzingen, DE
Heiner Markert · Stuttgart, DE

Key dates

Filing date	Jul 31, 2018
Grant date	Oct 19, 2021
Priority date	—
Expiry date	Jun 16, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N7/08
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for automatically generating a machine learning system which ascertains as a function of an input variable time series an output variable time series approximating an actual output variable time series, the machine learning system ascertaining a value of the output variable assigned to the predefinable point in time as a function of input and output variable values at the points in time, which are in a predefinable time interval, prior to a predefinable point in time, only a subset of the values of the input variable within the interval and of the values of the output variable being incorporated when ascertaining the output variable assigned to the predefinable point in time, the subset being selected so that it includes available input variable values and the output variable values assigned to the points in time within the interval, which are in a predefinable equidistant selection raster within the interval.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.