Augmented deep learning using combined regression and artificial neural network modeling

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United States of America Patent

PATENT NO 11774923
APP PUB NO 20210173360A1
SERIAL NO

17179832

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Abstract

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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.

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Patent Owner(s)

  • JOHNSON CONTROLS TYCO IP HOLDINGS LLP

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Drees, Kirk H Cedarburg, US 172 7755

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