Patents by Inventor Stefan Herzog, Jr.

Stefan Herzog, Jr. has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Quantifying a condition with a neural network
    Patent number: 9239983
    Abstract: Quantification of a condition of a selected item using a neural network is disclosed. A device defines a good hypertube in a neural state space based on good item state points obtained from one or more items that exhibit desired operating characteristics, and a bad hypertube in the neural state space based on bad item state points obtained from one or more items that exhibit undesirable operating characteristics. A current item state hyperpoint is determined in the neural state space based on a current item state point of the selected item. A condition of the selected item is quantified as a function of a location of the current item state hyperpoint with respect to at least a portion of the good hypertube and with respect to at least a portion of the bad hypertube.
    Type: Grant
    Filed: March 29, 2012
    Date of Patent: January 19, 2016
    Assignee: Lockheed Martin Corporation
    Inventors: Gregory A. Harrison, Sreerupa Das, Michael A. Bodkin, Richard M. Hall, Eric W. Worden, Stefan Herzog, Jr.