Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of...
Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil
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London: Springer London
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English
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London: Springer London
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In this study, for the issue of shallow circular footing’s bearing capacity (also shown as F
ult
), we used the merits of artificial neural network (ANN), while optimized it by two metaheuristic algorithms (i.e., ant lion optimization (ALO) and the spotted hyena optimizer (SHO)). Several studies demonstrated that ANNs have significant results...
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Full title
Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil
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TN_cdi_proquest_journals_2503540317
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2503540317
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ISSN
0177-0667
E-ISSN
1435-5663
DOI
10.1007/s00366-019-00897-9
