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Advanced training of machine-learning models usable in control systems and other systems
Advanced training of machine-learning models usable in control systems and other systems
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机译:控制系统和其他系统中可用的机器学习模型的高级培训
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摘要
Machine-learning models (MLM) can be configured more rapidly and accurately according to some examples. For example, a system can receive a first training dataset that includes (i) independent-variable values corresponding to independent variables and (ii) dependent-variable values corresponding to a dependent variable that is influenced by the independent variables. The independent-variable values can include nonlinear-variable values corresponding to at least one nonlinear independent variable. The system can then determine cluster assignments for the nonlinear-variable values, generate a second training dataset based on the cluster assignments, and train a model based on the second training dataset. The trained machine-learning model may then be used in various applications, such as control-system applications.
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