A scientometrics review of soil properties prediction using soft computing approaches
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …
Determining each soil's engineering properties is difficult because the laboratory procedures …
CBR prediction of pavement materials in unsoaked condition using LSSVM, LSTM-RNN, and ANN approaches
The present research introduces the best architecture model for predicting the unsoaked
California bearing ratio (CBRu) of soil by comparing the models based on the least square …
California bearing ratio (CBRu) of soil by comparing the models based on the least square …
[PDF][PDF] Computation of permeability of soil using artificial intelligence approaches
The Gaussian Process Regression (GPR), Decision Tree (DT), Relevance Vector Machine
(RVM), and Artificial Neural Network (ANN) AI approaches are constructed in MATLAB …
(RVM), and Artificial Neural Network (ANN) AI approaches are constructed in MATLAB …
[PDF][PDF] Prediction of Geotechnical Properties of Soil using Artificial Intelligence Framework
J Khatti, G KS - Int J Recent Technol Eng, 2021 - academia.edu
The present research work is carried out to predict the geotechnical properties (consistency
limits, OMC, and MDD) of soil using AI technologies, namely regression analysis (RA) …
limits, OMC, and MDD) of soil using AI technologies, namely regression analysis (RA) …