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Method and environment controller for validating a predictive model of a neural network through interactions with the environment controller

机译:用于通过与环境控制器的交互验证神经网络预测模型的方法和环境控制器

摘要

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.
机译:用于验证神经网络预测模型的方法和环境控制器。环境控制器接收至少一个环境特征值并确定多个输入变量。多个输入变量中的至少一个基于环境特征值之一。环境控制器执行基于多个输入变量计算至少一个输出变量的环境控制软件模块。环境控制器将多个输入变量发送到使用预测模型执行神经网络训练引擎的训练服务器;并从训练服务器接收至少一个推断的输出变量。每个推断的输出变量对应于由环境控制软件模块计算的至少一个输出变量之一。环境控制器将每个推断的输出变量与相应的计算输出变量进行比较;并向培训服务器发送反馈。

著录项

  • 公开/公告号US11188832B2

    专利类型

  • 公开/公告日2021-11-30

    原文格式PDF

  • 申请/专利权人 DISTECH CONTROLS INC.;

    申请/专利号US201815981342

  • 发明设计人 FRANCOIS GERVAIS;

    申请日2018-05-16

  • 分类号G06N5/02;G06N3/08;G05B13/02;

  • 国家 US

  • 入库时间 2022-08-24 22:15:29

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