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 …

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 …

Shear strength of soil (expressed in terms of „cohesion‟ and friction angle „Φ‟) is
significant in designing of civil engineering structures and for solving many geotechnical …

ABSTRACT Soil Coefficient of Consolidation (Cv) is a crucial mechanical parameter and
used to characterize whether the soil undergoes consolidation or compaction when …

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 …

It is the primary goal of this research to investigate how neural networks may be used to
describe soil behavior under situations of uniaxial strains. Geotechnical engineering issues …

The artificial neural network is robust in predicting soil properties. The present study aims to
determine the suitable hyperparameters such as number of hidden layers, neurons, and …

The potential of Neural network to capture the nonlinear interaction between various input
and output parameters has attracted many researchers towards investigating it. This paper …

Classification of soil is a necessary aspect in geotechnical engineering purposes.
Compared with traditional methods, smart and soft computing technology can classify …