Patents by Inventor Edward W. Page

Edward W. Page 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).

  • Multiresolution learning paradigm and signal prediction
    Patent number: 6947915
    Abstract: A neural network learning process provides a trained network that has good generalization ability for even highly nonlinear dynamic systems, and is trained with approximations of a signal obtained, each at a different respective resolution, using wavelet transformation. Approximations are used in order from low to high. The trained neural network is used to predict values. In a preferred embodiment of the invention, the trained neural network is used in predicting network traffic patterns.
    Type: Grant
    Filed: February 26, 2003
    Date of Patent: September 20, 2005
    Assignee: Alcatel
    Inventors: Yao Liang, Edward W. Page
  • Multiresolution learning paradigm and signal prediction
    Publication number: 20030225715
    Abstract: A neural network learning process provides a trained network that has good generalization ability for even highly nonlinear dynamic systems, and is trained with approximations of a signal obtained, each at a different respective resolution, using wavelet transformation. Approximations are used in order from low to high. The trained neural network is used to predict values. In a preferred embodiment of the invention, the trained neural network is used in predicting network traffic patterns.
    Type: Application
    Filed: February 26, 2003
    Publication date: December 4, 2003
    Applicant: ALCATEL
    Inventors: Yao Liang, Edward W. Page
  • Multiresolution learning paradigm and signal prediction
    Patent number: 6560586
    Abstract: A neural network learning process provides a trained network that has good generalization ability for even highly nonlinear dynamic systems, and is trained with approximations of a signal obtained, each at a different respective resolution, using wavelet transformation. Approximations are used in order from low to high. The trained neural network is used to predict values. In a preferred embodiment of the invention, the trained neural network is used in predicting network traffic patterns.
    Type: Grant
    Filed: October 28, 1999
    Date of Patent: May 6, 2003
    Assignee: Alcatel
    Inventors: Yao Liang, Edward W. Page