[PDF][PDF] Evaluating the compressive strength of recycled aggregate concrete using novel artificial neural network
In this work, the compressive strength of concrete made from recycled aggregate is studied
and an intelligent prediction is proposed by using a novel artificial neural network (ANN) …
and an intelligent prediction is proposed by using a novel artificial neural network (ANN) …
[HTML][HTML] Estimation of the erodibility of treated unsaturated lateritic soil using support vector machine-polynomial and-radial basis function and random forest …
Support vector machine techniques (polynomial and radial basis function) and random
forest regression techniques have been used to predict erodibility of an unsaturated soil …
forest regression techniques have been used to predict erodibility of an unsaturated soil …
Geocell mattress reinforcement for bottom ash: a comprehensive study of load-settlement characteristics
Rapid urbanization and rising land demand has necessitated the use of land space which
was considered unsuitable from the engineering point of view by rendering them suitable by …
was considered unsuitable from the engineering point of view by rendering them suitable by …
Bearing capacity estimation of ring footing on layered sand with geogrid at the interface using FELA and MARS
This research investigates the bearing capacity of a ring-shaped foundation on layered sand
reinforced with a geogrid at the interface. The study employed lower and upper-bound limit …
reinforced with a geogrid at the interface. The study employed lower and upper-bound limit …
[HTML][HTML] Bearing capacity and settlement prediction of multi-edge skirted footings resting on sand
This paper presents the application of artificial neural networks (ANN) and multivariable
regression analysis (MRA) to predict the bearing capacity and the settlement of multi-edge …
regression analysis (MRA) to predict the bearing capacity and the settlement of multi-edge …
Prediction of SPT value based on CPT data and soil properties using ANN with and without normalization
The mechanical properties of soil and rock in general have significant non-linearity, this is
due to the very complex composition of soil and rock [1]. Therefore, conventional methods in …
due to the very complex composition of soil and rock [1]. Therefore, conventional methods in …
Soft computing based prediction of unconfined compressive strength of fly ash stabilised organic clay
The current study uses machine learning techniques such as Random Forest Regression
(RFR), Artificial Neural Networks (ANN), Support Vector Machines Ploy kernel (SVMP) …
(RFR), Artificial Neural Networks (ANN), Support Vector Machines Ploy kernel (SVMP) …
Application of random forest regression in the prediction of ultimate bearing capacity of strip footing resting on dense sand overlying loose sand deposit
The paper presents the prediction of the ultimate bearing capacity of the strip footing resting
on layered soil (dense sand overlying loose sand) using random forest regression (RFR). In …
on layered soil (dense sand overlying loose sand) using random forest regression (RFR). In …
Prediction of bearing capacity of H shaped skirted footings on sand using soft computing techniques
T Gnananandarao, VN Khatri… - Archives of Materials …, 2020 - archivesmse.org
Purpose: The present study aims to apply soft computing techniques, Artificial Neural
Network (ANN) and M5P model tree, to predict the ultimate bearing capacity of the H plan …
Network (ANN) and M5P model tree, to predict the ultimate bearing capacity of the H plan …
Swelling pressure prediction of compacted unsaturated expansive soils
AF Ikechukwu, MMH Mostafa - International Journal of Engineering …, 2022 - Trans Tech Publ
Generally, expansive soils undergoes significant volumetric deformation, which causes
structural damages to existing infrastructures. Damages due to expansive activities are …
structural damages to existing infrastructures. Damages due to expansive activities are …