Symbolic Regression for the Determination of Joint Roughness Coefficient
Symbolic Regression for the Determination of Joint Roughness Coefficient
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
In this study, a novel symbolic regression-based empirical equation has been developed to compute the joint roughness coefficient (JRC) value based on the statistical parameters of rock joints. The symbolic regression was adopted to map the nonlinear function, which represents the relation between the JRC and statistical parameters of the rock join...
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Full title
Symbolic Regression for the Determination of Joint Roughness Coefficient
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TN_cdi_doaj_primary_oai_doaj_org_article_ca14fa2160e24ec0a4618cf2d39d940f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ca14fa2160e24ec0a4618cf2d39d940f
Other Identifiers
ISSN
2297-8747,1300-686X
E-ISSN
2297-8747
DOI
10.3390/mca30010017
