Patents by Inventor Yuri Owada

Yuri Owada 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).

  • Neuro-fuzzy-integrated data processing system
    Patent number: 6456989
    Abstract: The present invention relates to a data processing system in a hierarchical network configuration for executing applicable data processes in a comprehensible and executable form. An object of the present invention is to allow data processing capabilities to be established with high precision in a short time based on a fuzzy-neuro-integrated concept. A fuzzy model is generated by a data processing system in the form of membership functions and fuzzy rules as technical information relating to a control target. According to this fuzzy model, a weight value of the connection between neurons is set and a pre-wired neural network is established. Then, the data of the control target are learned by the neural network. The connection state and a weight value of the neural network after the learning enable tuning of the fuzzy model.
    Type: Grant
    Filed: February 22, 1999
    Date of Patent: September 24, 2002
    Assignees: Fujitsu Limited, FFC Limited
    Inventors: Akira Kawamura, Ryushuke Masuoka, Yuri Owada, Kazuo Asakawa, Shigenori Matsuoka, Hiroyuki Okada
  • Neuro-fuzzy-integrated data processing system
    Patent number: 5875284
    Abstract: The present invention relates to a data processing system in a hierarchical network configuration for executing applicable data processes in a comprehensible and executable form. The present invention allows data processing capabilities to be established with high precision in a short time based on a fuzzy-neuro-integrated concept. A fuzzy model is generated by a data processing system in the form of membership functions and fuzzy rules as technical information relating to a control target. According to this fuzzy model, a weight value of the connection between neurons is set and a pre-wired neural network is established. Then, the data of the control target are learned by the neural network. The connection state and a weight value of the neural network after the learning enable tuning of the fuzzy model.
    Type: Grant
    Filed: June 9, 1992
    Date of Patent: February 23, 1999
    Assignee: Fujitsu Limited
    Inventors: Nobuo Watanabe, Akira Kawamura, Ryushuke Masuoka, Yuri Owada, Kazuo Asakawa, Shigenori Matsuoka, Hiroyuki Okada