Load carrying capacity assessment of thin-walled foundations: an ANFIS–PNN model optimized by geneti...
Load carrying capacity assessment of thin-walled foundations: an ANFIS–PNN model optimized by genetic algorithm
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London: Springer London
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English
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London: Springer London
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A proper and reliable estimation of bearing capacity of thin-walled foundations is of importance and necessary for accurate design of these structures. This study proposes a new hybrid intelligent technique, i.e., adaptive neuro-fuzzy inference system (ANFIS)–polynomial neural network (PNN) optimized by the genetic algorithm (GA), called ANFIS–PNN–...
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Load carrying capacity assessment of thin-walled foundations: an ANFIS–PNN model optimized by genetic algorithm
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TN_cdi_proquest_journals_2745498609
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2745498609
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ISSN
0177-0667
E-ISSN
1435-5663
DOI
10.1007/s00366-021-01380-0
