Related references
Note: Only part of the references are listed.Hydrodynamic landslide displacement prediction using combined extreme learning machine and random search support vector regression model
Rubin Wang et al.
EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING (2023)
Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
Pin Zhang et al.
GEOSCIENCE FRONTIERS (2021)
Dynamic prediction of jet grouted column diameter in soft soil using Bi-LSTM deep learning
Shui-Long Shen et al.
ACTA GEOTECHNICA (2021)
Prediction of Disc Cutter Life During Shield Tunneling with AI via the Incorporation of a Genetic Algorithm into a GMDH-Type Neural Network
Khalid Elbaz et al.
ENGINEERING (2021)
State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils
Pin Zhang et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)
Application of LSTM approach for modelling stress-strain behaviour of soil
Ning Zhang et al.
APPLIED SOFT COMPUTING (2021)
Comprehensive environmental impact evaluation for concrete mixing station (CMS) based on improved TOPSIS method
Song-Shun Lin et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Machine learning-based uncertainty modelling of mechanical properties of soft clays relating to time-dependent behavior and its application
Pin Zhang et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2021)
A novel deep learning-based modelling strategy from image of particles to mechanical properties for granular materials with CNN and BiLSTM
Pin Zhang et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest
Pin Zhang et al.
ENGINEERING GEOLOGY (2020)
An AI-based model for describing cyclic characteristics of granular materials
Pin Zhang et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2020)
Enhancement of backtracking search algorithm for identifying soil parameters
Yin-Fu Jin et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2020)
Evaluation of soil liquefaction using AI technology incorporating a coupled ENN/t-SNE model
Pierre Guy Atangana Njock et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2020)
An intelligent multi-objective EPR technique with multi-step model selection for correlations of soil properties
Yin-Fu Jin et al.
ACTA GEOTECHNICA (2020)
Evaluation of machine learning methods to predict soil moisture constants with different combinations of soil input data for calcareous soils in a semi arid area
Sevim Seda Yamac et al.
AGRICULTURAL WATER MANAGEMENT (2020)
Genetic programming model for estimating soil suction in shallow soil layers in the vicinity of a tree
Zhi-Liang Cheng et al.
ENGINEERING GEOLOGY (2020)
Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study
Pin Zhang et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)
Random forest based artificial intelligent model for predicting failure envelopes of caisson foundations in sand
Pin Zhang et al.
APPLIED OCEAN RESEARCH (2020)
High performance prediction of soil compaction parameters using multi expression programming
Han-Lin Wang et al.
ENGINEERING GEOLOGY (2020)
Estimation of soil temperature from meteorological data using different machine learning models
Yu Feng et al.
GEODERMA (2019)
Prediction of maximum surface settlement caused by earth pressure balance (EPB) shield tunneling with ANN methods
Ren-Peng Chen et al.
SOILS AND FOUNDATIONS (2019)
Real-time analysis and regulation of EPB shield steering using Random Forest
Pin Zhang et al.
AUTOMATION IN CONSTRUCTION (2019)
Modified NTH Method for Assessing Effective Friction Angle of Normally Consolidated and Overconsolidated Clays from Piezocone Tests
Zhongkun Ouyang et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2019)
Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement
Zhen-Yu Yin et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2018)
Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study
Chongchong Qi et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2018)
Model updating and uncertainty analysis for creep behavior of soft soil
Wan-Huan Zhou et al.
COMPUTERS AND GEOTECHNICS (2018)
Non-tuned data intelligent model for soil temperature estimation: A new approach
Hadi Sanikhani et al.
GEODERMA (2018)
Comparison of site-specific and empirical correlations for drained residual shear strength
C. P. Hayden et al.
GEOTECHNIQUE (2018)
Effect of loading duration on uncertainty in creep analysis of clay
Fang Tan et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2018)
Back-Analysis Method for Stope Displacements Using Gradient-Boosted Regression Tree and Firefly Algorithm
Chongchong Qi et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2018)
Simple Index Tests for Assessing the Recompression Index of Fine-Grained Soils
Karim Kootahi
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2017)
Evolutionary polynomial regression based modelling of clay compressibility using an enhanced hybrid real-coded genetic algorithm
Yin Zhen-Yu et al.
ENGINEERING GEOLOGY (2016)
Modeling the soil water retention properties of same-textured soils with different initial void ratios
Fang Tan et al.
JOURNAL OF HYDROLOGY (2016)
Modeling the Mechanical Behavior of Carbonate Sands Using Artificial Neural Networks and Support Vector Machines
V. R. Kohestani et al.
INTERNATIONAL JOURNAL OF GEOMECHANICS (2016)
Multivariate adaptive regression splines and neural network models for prediction of pile drivability
Wengang Zhang et al.
GEOSCIENCE FRONTIERS (2016)
A review of automatic selection methods for machine learning algorithms and hyper-parameter values
Gang Luo
NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS (2016)
Predicting tunnel squeezing with incomplete data using Bayesian networks
Xianda Feng et al.
ENGINEERING GEOLOGY (2015)
Internal friction angle variation in a kaolin/montmorillonite clay mix and microstructural identification
M. Hattab et al.
GEOTECHNIQUE (2015)
Estimating compaction parameters of clayey soils from sediment volume test
Ali Hakan Oren
APPLIED CLAY SCIENCE (2014)
Estimation of soil-water characteristic curve and relative permeability for granular soils with different initial dry densities
Wan-Huan Zhou et al.
ENGINEERING GEOLOGY (2014)
Broad area mapping of monthly soil erosion risk using fuzzy decision tree approach: integration of multi-source data within GIS
L. Ai et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2013)
Neural computing models for prediction of permeability coefficient of coarse-grained soils
Isik Yilmaz et al.
NEURAL COMPUTING & APPLICATIONS (2012)
Prediction of uniaxial compressive strength of sandstones using petrography-based models
K. Zorlu et al.
ENGINEERING GEOLOGY (2008)
Least-square support vector machine applied to settlement of shallow foundations on cohesionless soils
Pijush Samui et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2008)
Bayesian neural network analysis of undrained side resistance of drilled shafts
ATC Goh et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2005)
Compaction behaviour and prediction of its characteristics of fine grained soils with particular reference to compaction energy
Y Gurtug et al.
SOILS AND FOUNDATIONS (2004)
Empirical correlations of compression index for marine clay from regression analysis
GL Yoon et al.
CANADIAN GEOTECHNICAL JOURNAL (2004)
Genetic programming: principles and applications
S Sette et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2001)
Share Paper
