Applying Artificial Neural Networks for analysis of geotechnical problems.

• Autorzy: Sulewska, M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a discussion of some applications of Arti?cial Neural Networks (ANNs) in geoengineering using the analysis of the following six geotechnical problems, related mainly to predictionand classification purposes: 1) prediction of Overconsolidation Ratio (OCR), 2) determination of potential soil liquefaction, 3) prediction of foundation settlement, 4) evaluation of piles bearing capacity, 5) prediction of compaction parameters for cohesive soils, 6) compaction control of embankments built of cohesionless soils. The problems presented are based on the applications of the Multi-Layered Perceptron (MLP) neural networks.

Słowa kluczowe

PL

geotechnika; sztuczne sieci neuronowe

EN

geotechnical problems; artificial neural networks; bearing capacity of piles; settlement of foundation; soil liquefaction; compaction control

• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2011
• Tom: Vol. 18, no. 4
• Strony: 231-241
• Opis fizyczny: Bibliogr. 19 poz., rys., tab., wykr.

Twórcy

autor

Sulewska, M.

• Bialystok University of Technology, Faculty of Civil and Environmental Engineering Wiejska 45A, 15-351 Białystok, Poland,

Bibliografia

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