Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential

Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm

(2022) Jian Zhou et al.   Acta Geotechnica

The adoption of ELM to the prediction of soil liquefaction based on CPT

(2021) Yong-gang Zhang et al.   Natural Hazards

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

(2021) Yingui Qiu et al.   ENGINEERING WITH COMPUTERS

Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential

(2021) Mingxiang Cai et al.   ENGINEERING WITH COMPUTERS

Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

(2021) Mahmood Ahmad et al.   Frontiers of Structural and Civil Engineering

An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity

(2021) Danial Jahed Armaghani et al.   ARTIFICIAL INTELLIGENCE REVIEW

Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation

(2021) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

(2021) Jian Zhou et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique

(2021) Zhi Yu et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

A novel PSO-KELM based soil liquefaction potential evaluation system using CPT and Vs measurements

(2021) Zening Zhao et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Prediction of TBM performance in fresh through weathered granite using empirical and statistical approaches

(2021) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms

(2021) Enming Li et al.   Journal of Rock Mechanics and Geotechnical Engineering

A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles

(2020) Weixun Yong et al.   ENGINEERING WITH COMPUTERS

Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC)

(2020) Jian Zhou et al.   International Journal of Mining Reclamation and Environment

Re-epithelialization and immune cell behaviour in an ex vivo human skin model

(2020) Ana Rakita et al.   Scientific Reports

Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system

(2020) Jian Zhou et al.   Bulletin of Engineering Geology and the Environment

Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill

(2020) Enming Li et al.   ENGINEERING WITH COMPUTERS

Developing a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass

(2020) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

A hybrid approach for evaluating CPT-based seismic soil liquefaction potential using Bayesian belief networks

(2020) Ahmad Mahmood et al.   Journal of Central South University

Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

(2020) De-Cheng Feng et al.   ADVANCED ENGINEERING INFORMATICS

Modeling of rock fragmentation by firefly optimization algorithm and boosted generalized additive model

(2020) Qiancheng Fang et al.   NEURAL COMPUTING & APPLICATIONS

An ensemble method to improve prediction of earthquake-induced soil liquefaction: a multi-dataset study

(2020) Junfei Zhang et al.   NEURAL COMPUTING & APPLICATIONS

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

(2020) Jian Zhou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application

(2020) De-Cheng Feng et al.   JOURNAL OF STRUCTURAL ENGINEERING

Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

(2020) Chengyu Xie et al.   Geoscience Frontiers

Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

(2020) Jian Zhou et al.   Geoscience Frontiers

Improving prediction of soil liquefaction using hybrid optimization algorithms and a fuzzy support vector machine

(2019) Alireza Rahbarzare et al.   Bulletin of Engineering Geology and the Environment

Interpretive Structural Modeling and MICMAC Analysis for Identifying and Benchmarking Significant Factors of Seismic Soil Liquefaction

(2019) Mahmood Ahmad et al.   Applied Sciences-Basel

Bayesian network models for probabilistic evaluation of earthquake-induced liquefaction based on CPT and Vs databases

(2019) Jilei Hu et al.   ENGINEERING GEOLOGY

Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials

(2019) Jian Zhou et al.   Applied Sciences-Basel

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

(2019) Hongquan Guo et al.   ENGINEERING WITH COMPUTERS

Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories

(2019) Jian Zhou et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Estimating the Heating Load of Buildings for Smart City Planning Using a Novel Artificial Intelligence Technique PSO-XGBoost

(2019) Le Thi Le et al.   Applied Sciences-Basel

A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning

(2019) Le Thi Le et al.   Applied Sciences-Basel

Soil moisture simulation using hybrid artificial intelligent model: Hybridization of adaptive neuro fuzzy inference system with grey wolf optimizer algorithm

(2019) Saman Maroufpoor et al.   JOURNAL OF HYDROLOGY

Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories

(2019) Jian Zhou et al.   SAFETY SCIENCE

Predicting seismic-induced liquefaction through ensemble learning frameworks

(2019) Mohammad H. Alobaidi et al.   Scientific Reports

Evaluating Seismic Soil Liquefaction Potential Using Bayesian Belief Network and C4.5 Decision Tree Approaches

(2019) Mahmood Ahmad et al.   Applied Sciences-Basel

Prediction of Blast-Induced Rock Movement During Bench Blasting: Use of Gray Wolf Optimizer and Support Vector Regression

(2019) Zhi Yu et al.   Natural Resources Research

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

(2019) Emadaldin Mohammadi Golafshani et al.   CONSTRUCTION AND BUILDING MATERIALS

Loan evaluation in P2P lending based on Random Forest optimized by genetic algorithm with profit score

(2018) Xin Ye et al.   Electronic Commerce Research and Applications

Identification of ground motion intensity measure and its application for predicting soil liquefaction potential based on the Bayesian network method

(2018) Jilei Hu et al.   ENGINEERING GEOLOGY

A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training

(2017) Shima Amirsadri et al.   NEURAL COMPUTING & APPLICATIONS

Predicting earthquake-induced soil liquefaction based on a hybridization of kernel Fisher discriminant analysis and a least squares support vector machine: a multi-dataset study

(2016) Nhat-Duc Hoang et al.   Bulletin of Engineering Geology and the Environment

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods

(2016) Jian Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Assessment of seismic liquefaction potential based on Bayesian network constructed from domain knowledge and history data

(2016) Ji-Lei Hu et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Seismic liquefaction potential assessed by support vector machines approaches

(2015) Xinhua Xue et al.   Bulletin of Engineering Geology and the Environment

Predictive lithological mapping of Canada's North using Random Forest classification applied to geophysical and geochemical data

(2015) J.R. Harris et al.   COMPUTERS & GEOSCIENCES

Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction

(2015) Jian Zhou et al.   NATURAL HAZARDS

Evaluation of liquefaction potential based on CPT data using random forest

(2015) V. R. Kohestani et al.   NATURAL HAZARDS

A unified classification model for modeling of seismic liquefaction potential of soil based on CPT

(2015) Pijush Samui et al.   Journal of Advanced Research

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

The use of neural networks for CPT-based liquefaction screening

(2014) Yusuf Erzin et al.   Bulletin of Engineering Geology and the Environment

Pore pressure generation in sand with bentonite: from small strains to liquefaction

(2013) C.S. EL MOHTAR et al.   GEOTECHNIQUE

Shear-Wave Velocity–Based Probabilistic and Deterministic Assessment of Seismic Soil Liquefaction Potential

(2013) R. Kayen et al.   JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING

Application of the adaptive neuro-fuzzy inference system for prediction of soil liquefaction

(2013) Xinhua Xue et al.   NATURAL HAZARDS

New models for probability of liquefaction using standard penetration tests based on an updated database of case histories

(2012) C. Hsein Juang et al.   ENGINEERING GEOLOGY

Determination of liquefaction susceptibility of soil: a least square support vector machine approach

(2012) Pijush Samui et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Evaluation of Liquefaction Potential Index Along Western Coast of South Korea Using SPT and CPT

(2012) Min-Woo Seo et al.   MARINE GEORESOURCES & GEOTECHNOLOGY

Liquefaction Potential Assessment of Pleistocene Beach Sands near Charleston, South Carolina

(2011) Tahereh Heidari et al.   JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING

Support vector machine for evaluating seismic-liquefaction potential using shear wave velocity

(2010) Pijush Samui et al.   JOURNAL OF APPLIED GEOPHYSICS

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Evaluation of liquefaction potential based on CPT results using evolutionary polynomial regression

(2009) Mohammad Rezania et al.   COMPUTERS AND GEOTECHNICS

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT