Patents by Inventor Miruna Szabo

Miruna Szabo 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).

  • Method for computer-aided learning of a neural network and neural network
    Patent number: 8423490
    Abstract: There is described a method for computer-aided learning of a neural network, with a plurality of neurons in which the neurons of the neural network are divided into at least two layers, comprising a first layer and a second layer crosslinked with the first layer. In the first layer input information is respectively represented by one or more characteristic values from one or several characteristics, wherein every characteristic value comprises one or more neurons of the first layer. A plurality of categories is stored in the second layer, wherein every category comprises one or more neurons of the second layer. For one or several pieces of input information, respectively at least one category in the second layer is assigned to the characteristic values of the input information in the first layer.
    Type: Grant
    Filed: September 20, 2006
    Date of Patent: April 16, 2013
    Assignee: Siemens Aktiengesellschaft
    Inventors: Gustavo Deco, Martin Stetter, Miruna Szabo
  • Method for Computer-Aided Learning of a Neural Network and Neural Network
    Publication number: 20100088263
    Abstract: There is described a method for computer-aided learning of a neural network, with a plurality of neurons in which the neurons of the neural network are divided into at least two layers, comprising a first layer and a second layer crosslinked with the first layer. In the first layer input information is respectively represented by one or more characteristic values from one or several characteristics, wherein every characteristic value comprises one or more neurons of the first layer. A plurality of categories is stored in the second layer, wherein every category comprises one or more neurons of the second layer. For one or several pieces of input information, respectively at least one category in the second layer is assigned to the characteristic values of the input information in the first layer.
    Type: Application
    Filed: September 20, 2006
    Publication date: April 8, 2010
    Inventors: Gustavo Deco, Martin Stetter, Miruna Szabo