吹膜过程效应的符号回归模型

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI:10.1109/CEC.2004.1330907

A. Kordon, C. Lue

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引用次数: 12

摘要

在实际工业案例研究中，探讨了符号回归自动生成过程效应经验模型的潜力。提出了一种基于非线性变量选择和遗传规划模型推导的方法，并成功地应用于吹膜过程效果建模。所建立的非线性模型简单，性能优于线性模型，预测的行为符合过程物理规律。

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Symbolic regression modeling of blown film process effects

The potential of symbolic regression for automatic generation of process effects empirical models has been explored on a real industrial case study. A methodology based on nonlinear variable selection and model derivation by genetic programming has been defined and successfully applied for blown film process effects modeling. The derived nonlinear models are simple, have better performance than the linear models, and predicted behavior in accordance with the process physics.

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Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)

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