Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study
Heterogeneous nature of soil consists of various chemical and physical attributes that make
the prediction of soil parameters very tedious and challenging. Moreover, it becomes more …
the prediction of soil parameters very tedious and challenging. Moreover, it becomes more …
Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
In this study, we developed Different Artificial Intelligence (AI) models namely Artificial
Neural Network (ANN), Adaptive Network based Fuzzy Inference System (ANFIS) and …
Neural Network (ANN), Adaptive Network based Fuzzy Inference System (ANFIS) and …
Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and multi-layer …
In many engineering projects, the soil compression coefficient is an important parameter
used for estimating the settlement of soil layers. The common practice of determining the soil …
used for estimating the settlement of soil layers. The common practice of determining the soil …
A comparative analysis of hybrid computational models constructed with swarm intelligence algorithms for estimating soil compression index
The determination of the compression index (Cc) of clay through oedometer tests is time-
consuming and expensive. To replace the practice of conducting laboratory oedometer tests …
consuming and expensive. To replace the practice of conducting laboratory oedometer tests …
Development of artificial neural networks for prediction of compression coefficient of soft soil
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 …
geotechnical problems. In this study, the main of objective is to develop an Artificial Neural …
[HTML][HTML] Estimation of recompression coefficient of soil using a hybrid ANFIS-PSO machine learning model
Recompression coefficient (Cr) is= an essential parameter utilized to predict consolidation
settlement of over-consolidated soil. Thus, the main aim of this work was to estimate …
settlement of over-consolidated soil. Thus, the main aim of this work was to estimate …
Application of genetic arithmetic and support vector machine in prediction of compression index of clay
XC Shi, YF Gao - Applied Mechanics and Materials, 2013 - Trans Tech Publ
The compression index is an important soil property that is essential to many geotechnical
designs. As the determination of the compression index from consolidation tests is relatively …
designs. As the determination of the compression index from consolidation tests is relatively …
New computational models for better predictions of the soil-compression index
A Demir - Acta Geotechnica Slovenica, 2015 - dk.um.si
The compression index is one of the important soil parameters that are essential for
geotechnical designs. Because laboratory and in-situ tests for determining the compression …
geotechnical designs. Because laboratory and in-situ tests for determining the compression …
[PDF][PDF] Predicting Soil Compression Index Using Random Forest and Gradient Boosting Tree
In the construction on soft ground, settlement prediction is essential for effective treatment
and mitigation. Soil compressibility is a crucial property for analyzing the settlement of soil …
and mitigation. Soil compressibility is a crucial property for analyzing the settlement of soil …
[PDF][PDF] Machine learning-based prediction of soil compression modulus with application of 1D settlement
The compression modulus (Es) is one of the most significant soil parameters that affects the
compressive deformation of geotechnical systems, such as foundations. However, it is …
compressive deformation of geotechnical systems, such as foundations. However, it is …