RAPID, ENERGY-SAVING, ITERATIVE OPERATION OF ARTIFICIAL NEURAL NETWORKS
A method for operating an artificial neural network (ANN), which processes inputs in a sequence of layers, to give outputs. In the method: within the ANN, at least one iterative block comprising one or more layers is defined and is to be executed multiple times; a number J of iterations is defined;...
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creator | Pfeil, Thomas Elsken, Thomas |
description | A method for operating an artificial neural network (ANN), which processes inputs in a sequence of layers, to give outputs. In the method: within the ANN, at least one iterative block comprising one or more layers is defined and is to be executed multiple times; a number J of iterations is defined; an input of the iterative block is mapped onto an output by the iterative block; the output is supplied to the iterative block again as an input and is mapped onto a new output; once the iterative block has been executed J times, the output delivered by the iterative block is supplied, as an input, to the layer of the ANN succeeding the iterative block or is provided as the output of the ANN. A portion of the parameters that characterize the behavior of the layers in the iterative block are changed between the iterations. |
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In the method: within the ANN, at least one iterative block comprising one or more layers is defined and is to be executed multiple times; a number J of iterations is defined; an input of the iterative block is mapped onto an output by the iterative block; the output is supplied to the iterative block again as an input and is mapped onto a new output; once the iterative block has been executed J times, the output delivered by the iterative block is supplied, as an input, to the layer of the ANN succeeding the iterative block or is provided as the output of the ANN. A portion of the parameters that characterize the behavior of the layers in the iterative block are changed between the iterations.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION ; CONTROL OR REGULATING SYSTEMS IN GENERAL ; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES ; CONTROLLING ; COUNTING ; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS ; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS ; PERFORMING OPERATIONS ; PHYSICS ; REGULATING ; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT ; TRANSPORTING ; VEHICLES IN GENERAL</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221013&DB=EPODOC&CC=US&NR=2022327354A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221013&DB=EPODOC&CC=US&NR=2022327354A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Pfeil, Thomas</creatorcontrib><creatorcontrib>Elsken, Thomas</creatorcontrib><title>RAPID, ENERGY-SAVING, ITERATIVE OPERATION OF ARTIFICIAL NEURAL NETWORKS</title><description>A method for operating an artificial neural network (ANN), which processes inputs in a sequence of layers, to give outputs. In the method: within the ANN, at least one iterative block comprising one or more layers is defined and is to be executed multiple times; a number J of iterations is defined; an input of the iterative block is mapped onto an output by the iterative block; the output is supplied to the iterative block again as an input and is mapped onto a new output; once the iterative block has been executed J times, the output delivered by the iterative block is supplied, as an input, to the layer of the ANN succeeding the iterative block or is provided as the output of the ANN. 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In the method: within the ANN, at least one iterative block comprising one or more layers is defined and is to be executed multiple times; a number J of iterations is defined; an input of the iterative block is mapped onto an output by the iterative block; the output is supplied to the iterative block again as an input and is mapped onto a new output; once the iterative block has been executed J times, the output delivered by the iterative block is supplied, as an input, to the layer of the ANN succeeding the iterative block or is provided as the output of the ANN. A portion of the parameters that characterize the behavior of the layers in the iterative block are changed between the iterations.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES CONTROLLING COUNTING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PERFORMING OPERATIONS PHYSICS REGULATING ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT TRANSPORTING VEHICLES IN GENERAL |
title | RAPID, ENERGY-SAVING, ITERATIVE OPERATION OF ARTIFICIAL NEURAL NETWORKS |
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