METHOD AND DEVICE FOR VERIFYING A NEURON FUNCTION IN A NEURAL NETWORK

Patent №

US 11,593,232

Granted

2023-02-28

Filed 2019

Owner

ROBERT BOSCH GMBH

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16240003

A method for verifying a calculation of a neuron value of multiple neurons of a neural network, including: carrying out or triggering a calculation of neuron functions of the multiple neurons, in each case to obtain a neuron value, the neuron functions being determined by individual weightings for each neuron input; calculating a first comparison value as the sum of the neuron values of the multiple neurons; carrying out or triggering a control calculation with one or multiple control neuron functions and with all neuron inputs of the multiple neurons, to obtain a second comparison value as a function of the neuron inputs of the multiple neurons and of the sum of the weightings of the multiple neurons assigned to the respective neuron input; and recognizing an error as a function of the first comparison value and of the second comparison value.

Machine learningVisionPlanningAI hardwareG06N 3/08G06F 11/1476G06F 17/15G06F 17/16G06N 3/045G06N 3/0464G06N 3/10G06N 20/10+1 more

AI classification

Machine learning1.00
AI hardware1.00
Vision0.92
Planning0.82
Evolutionary computation0.01
Knowledge representation0.00
Speech0.00
Natural language0.00

Ownership

ROBERT BOSCH GMBH

assignment · 488200706

Assignors

GUNTORO, ANDRE, RUNGE, ARMIN, SCHORN, CHRISTOPH, VOGEL, SEBASTIAN, TOPP, JAROSLAW, SCHIRMER, JUERGEN

On an employer assignment, the assignors are typically the inventors.

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