Adaptive neural network management system

Draelos, Timothy J.; Aimone, James Bradley

Title: Adaptive neural network management system

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Abstract

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.

Inventors:: Draelos, Timothy J.; Aimone, James Bradley

Issue Date:: 2021-01-12

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1805383

Patent Number(s):: 10891540

Application Number:: 14/975,420

Assignee:: National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)

DOE Contract Number:: AC04-94AL85000

Resource Type:: Patent

Resource Relation:: Patent File Date: 12/18/2015

Country of Publication:: United States

Language:: English

Citation Formats


                    Draelos, Timothy J., and Aimone, James Bradley. Adaptive neural network management system.  United States: N. p., 2021. 
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                    Draelos, Timothy J., & Aimone, James Bradley. Adaptive neural network management system.  United States.

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                    Draelos, Timothy J., and Aimone, James Bradley. Tue .  
        "Adaptive neural network management system".  United States.  https://www.osti.gov/servlets/purl/1805383.

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@article{osti_1805383,

  title        = {Adaptive neural network management system},

  author       = {Draelos, Timothy J. and Aimone, James Bradley},

  abstractNote = {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.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2021},

  month        = {1}

}

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