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Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms
Research article (Reliability Engineering & System Safety, 2023) · cited 19× · AI/ML
Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms
Summary
Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms is a scholarly article[1].
Key Facts
Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-clay-compressibility-for-foundation-design-with-high-reliability-and-safety-a-geotechnical-engineering-perspe
MLA“Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-clay-compressibility-for-foundation-design-with-high-reliability-and-safety-a-geotechnical-engineering-perspe.
BibTeX@misc{4ortxyz_predicting-clay-compressibility-for-foundation-design-with-high-reliability-and-safety-a-geotechnical-engineering-perspe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-clay-compressibility-for-foundation-design-with-high-reliability-and-safety-a-geotechnical-engineering-perspe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms — https://4ort.xyz/entity/predicting-clay-compressibility-for-foundation-design-with-high-reliability-and-safety-a-geotechnical-engineering-perspe (retrieved 2026-05-24)
