NEURAL NETWORK CIRCUIT FOR DEEP ARTIFICIAL NEURONAL NETWORKS USING DEEP FEEDBACK CONTROL

NEURAL NETWORK CIRCUIT FOR DEEP ARTIFICIAL NEURONAL NETWORKS USING DEEP FEEDBACK CONTROL

The present invention concerns a neural network circuit including a control unit (40) which is individually connected to each respective neuron of the circuit, the neurons in the hidden and output layers comprising a forward compartment for processing signals coming from preceding layers, a feedback...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: GREWE, Benjamin Friedrich, FARINHA, Matilde Tristany, MEULEMANS, Alexander Marc E, GARCIA ORDONEZ, Javier, SACRAMENTO, Joao Rodrigues, ACEITUNO, Pau
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:The present invention concerns a neural network circuit including a control unit (40) which is individually connected to each respective neuron of the circuit, the neurons in the hidden and output layers comprising a forward compartment for processing signals coming from preceding layers, a feedback compartment for processing feedback signals coming from the control unit and a central compartment for generating and sending a signal to the next layer or to the control unit. The control unit generates and sends to the feedback compartment of each respective neuron a feedback signal (Sf) based on the comparison between a network output signal (Sout) and a target signal (Star).