Systems and methods for product recommendation using predictive modeling

    公开(公告)号:US12271162B2

    公开(公告)日:2025-04-08

    申请号:US18533623

    申请日:2023-12-08

    Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

    Systems and methods for product recommendation using predictive modeling

    公开(公告)号:US11880176B2

    公开(公告)日:2024-01-23

    申请号:US17815719

    申请日:2022-07-28

    CPC classification number: G05B13/048 G05B13/028 G05B13/042

    Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

    PREDICTIVE MODELING TOOL
    3.
    发明申请

    公开(公告)号:US20220373981A1

    公开(公告)日:2022-11-24

    申请号:US17815719

    申请日:2022-07-28

    Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

    Predictive modeling tool for simulating industrial engineering and other applications

    公开(公告)号:US11435708B2

    公开(公告)日:2022-09-06

    申请号:US17250475

    申请日:2019-07-31

    Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

    PREDICTIVE MODELING TOOL
    5.
    发明公开

    公开(公告)号:US20240103466A1

    公开(公告)日:2024-03-28

    申请号:US18533623

    申请日:2023-12-08

    CPC classification number: G05B13/048 G05B13/028 G05B13/042

    Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

    PREDICTIVE MODELING TOOL
    6.
    发明申请

    公开(公告)号:US20210286329A1

    公开(公告)日:2021-09-16

    申请号:US17250475

    申请日:2019-07-31

    Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

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