Tables index

From

Predicting the Bearing Capacity of a Shallow Foundation Using Artificial Neural Networks with MATLAB: The Case of the Daraal Peulh Site (Senegal)

Hamed FALL, Déthié SARR, Lamine BAR, Abdou Aziz WELLE

American Journal of Civil Engineering and Architecture. 2026, 14(4), 176-188 doi:10.12691/ajcea-14-4-5
  • Table 1. Results of soil identification tests
  • Table 2. Results of direct shear tests
  • Table 3. (φ, C) pairs from direct shear tests at the DaraalPeulh site
  • Table 4. Excerpt from the database used for training
  • Table 5. Validation on Independent Data
  • Table 6. Final performance metrics and distribution of observations for the training, validation, and test phases
  • Table 7. Evolution of the mixed-model training indicators (Training State)
  • Table 8. Input Normalization Parameters
  • Table 9. Network weights and biases (12 hidden neurons, 1 output)