Log in to save to my catalogue

Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network...

Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a76d29a45fdd4c2b9c4c732d898ccc2c

Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA

About this item

Full title

Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA

Publisher

Basel: MDPI AG

Journal title

Buildings (Basel), 2021-08, Vol.11 (8), p.324

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

To minimize the environmental risks and for sustainable development, the utilization of recycled aggregate (RA) is gaining popularity all over the world. The use of recycled coarse aggregate (RCA) in concrete is an effective way to minimize environmental pollution. RCA does not gain more attraction because of the availability of adhered mortar on i...

Alternative Titles

Full title

Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a76d29a45fdd4c2b9c4c732d898ccc2c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a76d29a45fdd4c2b9c4c732d898ccc2c

Other Identifiers

ISSN

2075-5309

E-ISSN

2075-5309

DOI

10.3390/buildings11080324

How to access this item