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US 2021/0065044 A1Published application
Process speed-based forecasting
AssigneeCanvass Analytics Inc.
InventorsVenkatesh Muthusamy, Mingjie Mai, Steve Kludt
Life of this patent
Estimating the term…
Abstract
Methods and systems for process speed-based forecasting, in which historical data of a process is first aligned to account for latency in the process. Optionally, incorporation of memory and/or clustering can be included in the pre-processing of the historical data before being used to train a machine learning model.
Claims18
A method comprising:
- obtaining historical data of a process, the historical data comprising:
- one or more process variables;
- a process speed;
- and a target variable;
- pre-processing the historical data to provide a pre-processed data set, the pre-processing comprising aligning the target variable to the one or more process variables to provide an aligned dataset;
- and
- training a machine learning model on the pre-processed dataset.
4 more elements
A computing system, the computing system comprising:
- a processor;
- and
- a computer memory storing instructions that, when executed by the processor, configure the system to:
- obtain historical data of a process, the historical data comprising:
- one or more process variables;
- a process speed;
- and a target variable;
- pre-process the historical data to provide a pre-processed data set, the pre-processing comprising aligning the target variable to the one or more process variables to provide an aligned dataset;
- and
- train a machine learning model on the pre-processed dataset.
7 more elements
A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to:
- obtain historical data of a process, the historical data comprising:
- one or more process variables;
- a process speed;
- and a target variable;
- pre-process the historical data to provide a pre-processed data set, the pre-processing comprising aligning the target variable to the one or more process variables to provide an aligned dataset;
- and
- train a machine learning model on the pre-processed dataset.
4 more elements
Dependencies are inferred from the claim text.