A new formulation for symbolic regression to identify physico-chemical laws from experimental data (2020)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.cej.2019.123412

Publication URI: http://dx.doi.org/10.1016/j.cej.2019.123412

Type: Journal Article/Review

Parent Publication: Chemical Engineering Journal