Deterministic symbolic regression with derivative information: General methodology and application to equations of state

Symbolic regression methods simultaneously determine the model functional form and the regression parameter values by generating expression trees. Symbolic regression can capture the complexity of real‐world phenomena but the use of deterministic optimization for symbolic regression has been limited...

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Bibliographic Details

Published in:	AIChE journal Vol. 68; no. 6
Main Authors:	Engle, Marissa R., Sahinidis, Nikolaos V.
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 01.06.2022 American Institute of Chemical Engineers
Subjects:	Complexity cubic equations of state Equations of state mixed‐integer nonlinear programming Nonlinear programming Optimization Regression surrogate modeling symbolic regression Thermodynamics Trees
ISSN:	0001-1541, 1547-5905
Online Access:	Get full text
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