Invention Grant
- Patent Title: Method and environment controller for validating a predictive model of a neural network through interactions with the environment controller
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Application No.: US15981342Application Date: 2018-05-16
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Publication No.: US11188832B2Publication Date: 2021-11-30
- Inventor: Francois Gervais
- Applicant: Distech Controls Inc.
- Applicant Address: CA Brossard
- Assignee: Distech Controls Inc.
- Current Assignee: Distech Controls Inc.
- Current Assignee Address: CA Brossard
- Agency: RatnerPrestia
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06N3/08 ; G05B13/02

Abstract:
Method and environment controller for validating a predictive model of a neural network. The environment controller receives at least one environmental characteristic value and determines a plurality of input variables. At least one of the plurality of input variables is based on one among the environmental characteristic value(s). The environment controller executes an environment control software module for calculating at least one output variable based on the plurality of input variables. The environment controller transmits the plurality of input variables to a training server executing a neural network training engine using the predictive model; and receives at least one inferred output variable from the training server. Each inferred output variable corresponds to one of the at least one output variable calculated by the environment control software module. The environment controller compares each inferred output variable with the corresponding calculated output variable; and sends a feedback to the training server.
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