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ADAPTIVE NEURAL NETWORK MANAGEMENT SYSTEM

United States Patent Application

20170177993
A1
View the Complete Application at the US Patent & Trademark Office
Sandia National Laboratories - Visit the Intellectual Property Management and Licensing Website
A method and computer system for managing a neural network. Data is sent into an input layer in a portion of layers of nodes in the neural network. The data moves on an encode path through the portion such that an output layer in the portion outputs encoded data. The encoded data is sent into the output layer on a decode path through the portion back to the input layer to obtain a reconstruction of the data by the input layer. A determination is made as to whether an undesired amount of error has occurred in the output layer based on the data sent into the input layer and the reconstruction of the data. A number of new nodes is added to the output layer when a determination is present that the undesired amount of the error occurred, enabling reducing the error using the number of the new nodes.
Draelos, Timothy J. (Albuquerque, NM), Aimone, James Bradley (Albuquerque, NM)
14/ 975,420
December 18, 2015
GOVERNMENT LICENSE RIGHTS [0001] This invention was made with United States Government support under Contract No. DE-AC04-94AL85000 between Sandia Corporation and the United States Department of Energy. The United States Government has certain rights in this invention.