Neural-Fuzzy Modelling to Analyse Complex Geotechnical Systems

Provenzano, P.

doi:10.1007/978-3-540-45287-4_10

Cited by 1 publication

(2 citation statements)

References 3 publications

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“…However, in geotechnical design, the probabilistic analysis needs a large amount of data to estimate statistical parameters. Even small errors or inaccuracies in input parameters have been shown (Provenzano, 2000) to lead to large errors in calculating failure probability.…”

Section: Adaptive Inference Modeling In Geotechnical and Structural Ementioning

confidence: 99%

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A Fuzzy‐Neural Network Method for Modeling Uncertainties in Soil‐Structure Interaction Problems

Provenzano

2003

Computer aided Civil Eng

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Uncertainty often recurs in structural system characterization as well as in choosing the mechanical model and in calibrating it. When analyzing a structure founded in cohesionless soils, the uncertainty in system modeling comes from soil inherent variability, site conditions, construction tolerance, and failure mechanisms. In this research, a Fuzzy-Neural Network method to predict the behavior of structures built on complex cohesionless soils is proposed. The method is based on an ArtificialNeural Network (ANN) for modeling the soil-foundation interaction. Its learning process analyzes over 200 records of building foundations, tanks, and embankments settlements on sand and gravel. Once validated, ANN is introduced in the soil-foundation-sovrastructure interaction model. Using fuzzy sets to define vague and ambiguous variables, the Fuzzy-Neural Network method predicts the system behavior and quantifies the uncertainty of its response. A numerical example shows the method effectiveness in the case of uncertainty in soil parameters and gives suggestions for successive applications.

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Section: Adaptive Inference Modeling In Geotechnical and Structural Ementioning

confidence: 99%

“…A feed-forward neural network with multilayer perceptron is used (Provenzano, 2000). The learning algorithm is supervised, based on back-propagation procedure.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

A Fuzzy‐Neural Network Method for Modeling Uncertainties in Soil‐Structure Interaction Problems

Provenzano

2003

Computer aided Civil Eng

View full text Add to dashboard Cite

show abstract

Neural-Fuzzy Modelling to Analyse Complex Geotechnical Systems

Cited by 1 publication

References 3 publications

A Fuzzy‐Neural Network Method for Modeling Uncertainties in Soil‐Structure Interaction Problems

A Fuzzy‐Neural Network Method for Modeling Uncertainties in Soil‐Structure Interaction Problems

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