Liquefaction potential assessment of soils using machine learning techniques: a state-of-the-art review from 1994–2021
Abstract Machine learning (ML) has emerged as a powerful tool for prediction of systems
behavior in many engineering disciplines. A few applications of ML techniques are available …
behavior in many engineering disciplines. A few applications of ML techniques are available …
Performance and emission characteristics of a CI engine using nano particles additives in biodiesel-diesel blends and modeling with GP approach
The performance and the exhaust emissions of a diesel engine operating on nano-diesel-
biodiesel blended fuels has been investigated. Multi wall carbon nano tubes (CNT)(40, 80 …
biodiesel blended fuels has been investigated. Multi wall carbon nano tubes (CNT)(40, 80 …
Development of empirical models with high accuracy for estimation of drag coefficient of flow around a smooth sphere: An evolutionary approach
An accurate correlation for the smooth sphere drag coefficient with wide range of
applicability is a useful tool in the field of particle technology. The present study focuses on …
applicability is a useful tool in the field of particle technology. The present study focuses on …
Assessment of soil liquefaction based on capacity energy concept and multivariate adaptive regression splines
Soil liquefaction is one of the most complicated phenomena to assess in geotechnical
earthquake engineering. The procedures that have been developed to determine the …
earthquake engineering. The procedures that have been developed to determine the …
Predicting earthquake-induced soil liquefaction based on a hybridization of kernel Fisher discriminant analysis and a least squares support vector machine: a multi …
ND Hoang, DT Bui - Bulletin of Engineering Geology and the Environment, 2018 - Springer
Assessment of the earthquake-induced liquefaction potential is a critical concern in design
processes of construction projects. This study proposes a novel soft computing model with a …
processes of construction projects. This study proposes a novel soft computing model with a …
Comparison of statistical and machine learning methods in modelling of data with multicollinearity
A Garg, K Tai - International Journal of Modelling …, 2013 - inderscienceonline.com
Multicollinearity occurs in a dataset due to correlation between the predictors. Models
derived from such data without a check on multicollinearity may lead to erroneous system …
derived from such data without a check on multicollinearity may lead to erroneous system …
Application of dimensional analysis and multi-gene genetic programming to predict the performance of tunnel boring machines
An accurate prediction of tunnel boring machine (TBM) performance is one of the complex
and crucial issues encountered frequently in tunnel construction, which is the aim of the …
and crucial issues encountered frequently in tunnel construction, which is the aim of the …
Probabilistic capacity energy-based machine learning models for soil liquefaction reliability analysis
The energy-based method has been widely employed to evaluate soil liquefaction potential.
A recent trend is to develop machine learning (ML) models to predict capacity energy …
A recent trend is to develop machine learning (ML) models to predict capacity energy …
Artificial intelligence in geotechnical engineering: applications, modeling aspects, and future directions
MA Shahin - Metaheuristics in water, geotechnical and transport …, 2013 - books.google.com
Geotechnical engineering deals with materials (eg, soil and rock) that, by their very nature,
exhibit varied and uncertain behavior due to the imprecise physical processes associated …
exhibit varied and uncertain behavior due to the imprecise physical processes associated …
[HTML][HTML] Energy-based numerical models for assessment of soil liquefaction
This study presents promising variants of genetic programming (GP), namely linear genetic
programming (LGP) and multi expression programming (MEP) to evaluate the liquefaction …
programming (LGP) and multi expression programming (MEP) to evaluate the liquefaction …