RELEVANCY ASSESSMENT FOR ARTIFICIAL NEURAL NETWORKS Russian patent published in 2019 - IPC G06K9/46 G06N3/02 G06N3/08 

Abstract RU 2703343 C2

FIELD: physics.

SUBSTANCE: group of inventions relates to computer engineering and can be used in artificial neural networks. Device is configured to redistribute the initial relevance score obtained from the network output to the set of elements by back propagation of the initial relevance score through the artificial neural network in order to obtain a relevance score for each element, wherein the device is configured to perform reverse propagation such that for each neuron, pre-redistributed estimates of relevance of a set of descending neighbouring neurons of the corresponding neuron are distributed over a set of upstream neighbouring neurons of the corresponding neuron using a distribution function.

EFFECT: technical result is to ensure relevance assessment for artificial neural networks.

35 cl, 21 dwg

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RU 2 703 343 C2

Authors

Lapushkin Sebastyan

Samek Vojtsekh

Myuller Klaus-Robert

Binder Aleksander

Montavon Greguar

Dates

2019-10-16Published

2015-03-20Filed