Kriging-based surrogate data-enriching artificial neural network prediction of strength and permeabi...
Kriging-based surrogate data-enriching artificial neural network prediction of strength and permeability of permeable cement-stabilized base
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Limited test data hinder the accurate prediction of mechanical strength and permeability of permeable cement-stabilized base materials (PCBM). Here we show a kriging-based surrogate model assisted artificial neural network (KS-ANN) framework that integrates laboratory testing, mathematical modeling, and machine learning. A statistical distribution...
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Kriging-based surrogate data-enriching artificial neural network prediction of strength and permeability of permeable cement-stabilized base
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TN_cdi_doaj_primary_oai_doaj_org_article_d325d6dd0318412fba622e43e7c87e1f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d325d6dd0318412fba622e43e7c87e1f
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-48766-4
