Invention Grant
- Patent Title: Augmented deep learning using combined regression and artificial neural network modeling
-
Application No.: US17179832Application Date: 2021-02-19
-
Publication No.: US11774923B2Publication Date: 2023-10-03
- Inventor: Kirk H. Drees
- Applicant: Johnson Controls Technology Company
- Applicant Address: US MI Auburn Hills
- Assignee: Johnson Controls Tyco IP Holdings LLP
- Current Assignee: Johnson Controls Tyco IP Holdings LLP
- Current Assignee Address: US WI Milwaukee
- Agency: Foley & Lardner LLP
- The original application number of the division: US16054805 2018.08.03
- Main IPC: G05B13/02
- IPC: G05B13/02 ; G05B13/04 ; G06N3/08 ; G06N7/00 ; G05B15/02 ; G06F18/22 ; G06F18/23213 ; G06N3/045 ; G06N7/01

Abstract:
A method for initiating and automatically improving model-driven operations in a low-data scenario includes creating a regression model using pre-operation data prior to initiating the model-driven operations, using the regression model to initiate and perform the model-driven operations during an operational stage, collecting operational data during the operational stage, creating a first artificial neural network model using the operational data, transitioning from using the regression model to perform the model-driven operations to using the first artificial neural network model to perform the model-driven operations responsive to the operational data satisfying a first sufficiency threshold.
Public/Granted literature
- US20210173360A1 AUGMENTED DEEP LEARNING USING COMBINED REGRESSION AND ARTIFICIAL NEURAL NETWORK MODELING Public/Granted day:2021-06-10
Information query