A new formulation for symbolic regression to identify physico-chemical laws from experimental data

Pascal Neumann,Liwei Cao,Danilo Russo,Vassilios S. Vassiliadis,Alexei A. Lapkin

Chemical Engineering Journal（2020）

引用 36|浏览24

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摘要

•Automated identification of physical laws from noisy experimental data demonstrated.•Symbolic regression problem is formulated using directed acyclic graphs.•Demonstration of physical knowledge generated from the robotically collected data.

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关键词

Model identification,Chemical process development,Symbolic regression,Automated model construction,Mixed-integer nonlinear programming (MINLP),Global optimization

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