20250165779. Data Processing System Comprisi (IntuiCell AB)
A data processing system comprising a network, a method, and a computer program product
Abstract: the disclosure relates to a data processing system (), configured to have one or more system input(s) () comprising data to be processed and a system output (), comprising: a network, nw, () comprising a plurality of nodes (), each node configured to have a plurality of inputs (), each node () comprising a weight (wa, . . . , wy) for each input (), and each node configured to produce an output (); and one or more updating units () configured to update the weights (wa, . . . , wy) of each node based on correlation of each respective input () of the node () with the corresponding output () during a learning mode; one or more processing units () configured to receive a processing unit input and configured to produce a processing unit output by changing the sign of the received processing unit input; and wherein the system output () comprises the outputs () of each node (), wherein nodes () of a first group () of the plurality of nodes are configured to excite one or more other nodes ( . . . , ) of the plurality of nodes () by providing the output () of each of the nodes () of the first group () of nodes as input () to the one or more other nodes ( . . . , ), wherein nodes () of a second group () of the plurality of nodes are configured to inhibit one or more other nodes (. . . ) of the plurality of nodes () by providing the output () of each of the nodes () of the second group () as a processing unit input to a respective processing unit (), each respective processing unit () being configured to provide the processing unit output as input (. . . ) to the one or more other nodes (. . . ) and wherein each node of the plurality of nodes () belongs to one of the first and second groups () of nodes. the disclosure further relates to a method, and a computer program product.
Inventor(s): Henrik Jörntell, Linus Mårtensson, Udaya Bahskar Rongala, Jonas Enander
CPC Classification: G06N3/08 (Learning methods)
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