Patents by Inventor Terry F. Bott

Terry F. Bott 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).

  • Generation of virtual training sets for neural net applications
    Patent number: 11954176
    Abstract: One embodiment of the present invention provides a computer implemented method for generating a training set to train a convolutional neural network comprising the steps of providing prediction space data to a General Logic Gate Module (GLGM). Prediction space expert judgement is also provided to the GLGM and to a sensitivity and importance module. The GLGM determines or outputs state possibilities. The state possibilities are provided to the sensitivity and importance module and to the feature extraction module. Feature extraction algorithms are applied to the state possibilities within the feature extraction module to produce a training possibility set that is a virtual training possibility set. The training possibility set is provided to a state inferential module and to a final training set.
    Type: Grant
    Filed: April 27, 2023
    Date of Patent: April 9, 2024
    Assignee: Periculum Labs Inc.
    Inventors: Stephen W. Eisenhawer, Terry F. Bott
  • Generation of virtual training sets for neural net applications
    Patent number: 11669589
    Abstract: One embodiment of the present invention provides a computer implemented method for generating a training set to train a convolutional neural network comprising the steps of providing prediction space data to a General Logic Gate Module (GLGM). Prediction space expert judgement is also provided to the GLGM and to a sensitivity and importance module. The GLGM determines or outputs state possibilities. The state possibilities are provided to the sensitivity and importance module and to the feature extraction module. Feature extraction algorithms are applied to the state possibilities within the feature extraction module to produce a training possibility set that is a virtual training possibility set. The training possibility set is provided to a state inferential module and to a final training set.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: June 6, 2023
    Assignee: Periculum Labs Inc.
    Inventors: Stephen W. Eisenhawer, Terry F. Bott