Patents by Inventor Rouslan V. Lobachev

Rouslan V. Lobachev 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: 8392352
    Abstract: A method for automatic generation of a Neuro-Fuzzy Expert System (Fuzzy Logic Expert System implemented as a Neural Network) from data. The method comprising a Data Interface allowing description of location, type, and structure of the Data. The Interface also allows designation of input attributes and output attributes in the Data Structure; automatic Neuro-Fuzzy Expert System generation driven by the Data; Training of the Expert System's Neural Network on the Data and the presentation of results which include new knowledge embedded in the parameters and structure of the trained Neuro-Fuzzy Expert System to a user.
    Type: Grant
    Filed: May 4, 2009
    Date of Patent: March 5, 2013
    Assignee: Dintecom, Inc.
    Inventors: Gene I. Kofman, Serguei A. Lyssenkov, Rouslan V. Lobachev
  • Publication number: 20090276391
    Abstract: A method for automatic generation of a Neuro-Fuzzy Expert System (Fuzzy Logic Expert System implemented as a Neural Network) from data. The method comprising a Data Interface allowing description of location, type, and structure of the Data. The Interface also allows designation of input attributes and output attributes in the Data Structure; automatic Neuro-Fuzzy Expert System generation driven by the Data; Training of the Expert System's Neural Network on the Data and the presentation of results which include new knowledge embedded in the parameters and structure of the trained Neuro-Fuzzy Expert System to a user.
    Type: Application
    Filed: May 4, 2009
    Publication date: November 5, 2009
    Applicant: Dintecom, Inc.
    Inventors: Gene I. KOFMAN, Serguei A. LYSSENKOV, Rouslan V. LOBACHEV
  • Patent number: 7529722
    Abstract: A method for automatic generation of a Neuro-Fuzzy Expert System (Fuzzy Logic Expert System implemented as a Neural Network) from data. The method comprising a Data Interface allowing description of location, type, and structure of the Data. The Interface also allows designation of input attributes and output attributes in the Data Structure; automatic Neuro-Fuzzy Expert System generation driven by the Data; Training of the Expert System's Neural Network on the Data and the presentation of results which include new knowledge embedded in the parameters and structure of the trained Neuro-Fuzzy Expert System to a user.
    Type: Grant
    Filed: December 22, 2004
    Date of Patent: May 5, 2009
    Assignee: Dintecom, Inc.
    Inventors: Gene I. Kofman, Serguei A. Lyssenkov, Rouslan V. Lobachev