Soil mechanics problems deal with various types of soil that exhibit erratic behaviour in the
real world, one such soil being the expansive soil where it takes a lot of laboratory test …

The primary aim of the synthetic neural network approach was to unravel the issues similarly
that a person's brain would. The artificial neural network system was extensively applied in …

The behaviour of soil at the location of the project and interactions of the earth materials
during and after construction has a major influence on the success, economy and safety of …

The behaviour of soil at the location of the project and interactions of the earth materials
during and after construction has a major influence on the success, economy and safety of …

Expansive soils exhibit excessive volume increases upon contact with water, which can
pose a serious threat to stability of structures and foundations. Therefore, it is essential to …

In the last few years, the use of artificial neural network analysis has increased, particularly,
in geotechnical engineering problems and has demonstrated some success. In this …

This paper presents artificial neural network prediction models which relate compaction
characteristics, permeability, and soil shear strength to soil index properties. In this study, a …

Prediction of the free swell index of the expansive soil using artificial neural network has
been presented in this paper. Input parameters for the artificial neural network model were …

The main objective of the present study is to apply Artificial Neural Network (ANN), which is
one of the most popular machine learning models, to accurately predict the soil unconfined …

Compression coefficient (Cc) of soft soil is an important parameter in solving many
geotechnical problems. In this study, the main of objective is to develop an Artificial Neural …