Patents Assigned to Dintecom, Inc.
  • 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
  • Publication number: 20050149459
    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: December 22, 2004
    Publication date: July 7, 2005
    Applicant: Dintecom, Inc.
    Inventors: Gene Kofman, Serguei Lyssenkov, Rouslan Lobachev