35 Years of (AI) in geotechnical engineering: state of the art
AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …
geotechnical engineering, during those years many (AI) techniques were developed based …
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 …
Data utilization and partitioning for machine learning applications in civil engineering
abstract Machine learning (ML) has revolutionized civil engineering by enabling the analysis
of vast amounts of data to extract valuable insights and improve design practices. The …
of vast amounts of data to extract valuable insights and improve design practices. The …
[PDF][PDF] A study of relationship among correlation coefficient, performance, and overfitting using regression analysis
The correlation coefficient is the method for presenting the relationship between features
and labels. The present research work aims to map a relationship among correlation …
and labels. The present research work aims to map a relationship among correlation …
[PDF][PDF] Determination of suitable hyperparameters of artificial neural network for the best prediction of geotechnical properties of soil
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 …
determine the suitable hyperparameters such as number of hidden layers, neurons, and …
Predicting the chemical and mechanical properties of gypseous soils using different simulation technics
Gypseous soils are soils that contain sufficient quantities of gypsum that are considered
collapsible soil. The present study's objective is to predict the shear strength parameters (c …
collapsible soil. The present study's objective is to predict the shear strength parameters (c …
[PDF][PDF] Prediction of collapse potential for gypseous sandy soil using ANN technique
AM Najemalden, SW Ibrahim… - Journal of Engineering …, 2020 - jestec.taylors.edu.my
The present study illustrates the efficiency of the Artificial Neural Network to model the
relationship between the collapse potential of gypseous sandy soil with the soil parameters …
relationship between the collapse potential of gypseous sandy soil with the soil parameters …
Comparing nonlinear regression analysis and artificial neural networks to predict geotechnical parameters from standard penetration test
At the beginning the twenty-first century, a lot of high-level methods have become available
in geotechnical engineering in order to deal with the complexity and heterogeneity …
in geotechnical engineering in order to deal with the complexity and heterogeneity …
[PDF][PDF] PREDICTION OF COMPACTION PARAMETERS OF SOIL USING GA AND PSO OPTIMIZED RELEVANCE VECTOR MACHINE (RVM).
The present research introduces the best architectural relevance vector machine (RVM)
model for predicting the compaction parameters of soil. The two types of RVM models, ie …
model for predicting the compaction parameters of soil. The two types of RVM models, ie …
DETERMINATION OF THE OPTIMUM PERFORMANCE AI MODEL AND METHODOLOGY TO PREDICT THE COMPACTION PARAMETERS OF SOILS.
This technical article helps identify the optimum performance AI model for predicting
compaction parameters of soil. A comparative study is mapped between regression analysis …
compaction parameters of soil. A comparative study is mapped between regression analysis …