Patents by Inventor Manl Flacher

Manl Flacher 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).

  • Patent number: 7409372
    Abstract: A neural network is trained with input data. The neural network is used to rescale the input data. Errors for the rescaled values are determined, and neighborhoods of the errors are used adjust connection weights of the neural network.
    Type: Grant
    Filed: June 20, 2003
    Date of Patent: August 5, 2008
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Carl Staelin, Darryl Greig, Manl Flacher, Ron Maurer
  • Publication number: 20040260662
    Abstract: A neural network is trained with input data. The neural network is used to rescale the input data. Errors for the rescaled values are determined, and neighborhoods of the errors are used adjust connection weights of the neural network.
    Type: Application
    Filed: June 20, 2003
    Publication date: December 23, 2004
    Inventors: Carl Staelin, Darryl Greig, Manl Flacher, Ron Maurer