Investigation of ANN architecture for predicting residual strength of clay soil
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07547-0.pdf
Reference41 articles.
1. Das SK, Basudhar PK (2008) Prediction of residual friction angle of clays using artificial neural network. Eng Geol 100:142–145. https://doi.org/10.1016/j.enggeo.2008.03.001
2. Bromhead EN (1979) Simple ring shear apparatus. Ground Eng. https://doi.org/10.1016/0148-9062(80)90043-1
3. Lupini JF, Skinner AE, Vaughan PR (1981) The drained residual strength of cohesive soils. Geotechnique 31:181–213. https://doi.org/10.1680/geot.1981.31.2.181
4. Voight B (1973) Correlation between Atterberg plasticity limits and residual shear strength of natural soils. Geotechnique. https://doi.org/10.1680/geot.1973.23.2.265
5. Skempton AW (1964) Long-term stability of clay slopes. Géotechnique 14:77–102. https://doi.org/10.1680/geot.1964.14.2.77
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