Abstract
Engineers have always been aware of uncertainties in analysis of geotechnical system complexity, related to soil inherent variability, site conditions, construction tolerance, and failure mechanisms. Geotechnical and structure design deal with these uncertainties by heuristic and expertise knowledge using input data that fall in the category of non-statistical uncertainties. In this article, an expert system based on an Artificial Neural Network with fuzzy input vectors is suggested for settlement prediction of shallow foundations in cohesionless soils.
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Provenzano, P. (2004). Neural-Fuzzy Modelling to Analyse Complex Geotechnical Systems. In: Frémond, M., Maceri, F. (eds) Novel Approaches in Civil Engineering. Lecture Notes in Applied and Computational Mechanics, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45287-4_10
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DOI: https://doi.org/10.1007/978-3-540-45287-4_10
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