Related references
Note: Only part of the references are listed.Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
Yingui Qiu et al.
ENGINEERING WITH COMPUTERS (2022)
Deep neural network and whale optimization algorithm to assess flyrock induced by blasting
Hongquan Guo et al.
ENGINEERING WITH COMPUTERS (2021)
Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting
Jian Zhou et al.
ENGINEERING WITH COMPUTERS (2021)
Feasibility of the indirect determination of blast-induced rock movement based on three new hybrid intelligent models
Zhi Yu et al.
ENGINEERING WITH COMPUTERS (2021)
Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill
Enming Li et al.
ENGINEERING WITH COMPUTERS (2021)
An ensemble method to improve prediction of earthquake-induced soil liquefaction: a multi-dataset study
Junfei Zhang et al.
NEURAL COMPUTING & APPLICATIONS (2021)
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
Jian Zhou et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)
Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques
Wang Shi-ming et al.
JOURNAL OF CENTRAL SOUTH UNIVERSITY (2021)
Performance Evaluation of Hybrid WOA-SVR and HHO-SVR Models with Various Kernels to Predict Factor of Safety for Circular Failure Slope
Wei Wei et al.
APPLIED SCIENCES-BASEL (2021)
Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
Jian Zhou et al.
GEOSCIENCE FRONTIERS (2021)
Stochastic assessment of hard rock pillar stability based on the geological strength index system
Chuanqi Li et al.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES (2021)
Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization
Jian Zhou et al.
UNDERGROUND SPACE (2021)
Prediction of Blast-Induced Rock Movement During Bench Blasting: Use of Gray Wolf Optimizer and Support Vector Regression
Zhi Yu et al.
NATURAL RESOURCES RESEARCH (2020)
A SVR-GWO technique to minimize flyrock distance resulting from blasting
Danial Jahed Armaghani et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020)
Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system
Jian Zhou et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020)
Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models
Jian Zhou et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2020)
GA-SVM based feature selection and parameter optimization in hospitalization expense modeling
Zhou Tao et al.
APPLIED SOFT COMPUTING (2019)
Bayesian network models for probabilistic evaluation of earthquake-induced liquefaction based on CPT and Vs databases
Jilei Hu et al.
ENGINEERING GEOLOGY (2019)
Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories
Jian Zhou et al.
SAFETY SCIENCE (2019)
Predicting seismic-induced liquefaction through ensemble learning frameworks
Mohammad H. Alobaidi et al.
SCIENTIFIC REPORTS (2019)
Improving prediction of soil liquefaction using hybrid optimization algorithms and a fuzzy support vector machine
Alireza Rahbarzare et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Patient rule-induction method for liquefaction potential assessment based on CPT data
A. Kaveh et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2018)
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
Nhat-Duc Hoang et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2018)
Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples
Manoj Khandelwal et al.
ENGINEERING WITH COMPUTERS (2018)
Prediction of sulfur solubility in supercritical sour gases using grey wolf optimizer-based support vector machine
Xiao-Qiang Bian et al.
JOURNAL OF MOLECULAR LIQUIDS (2018)
Color difference classification based on optimization support vector machine of improved grey wolf algorithm
Zhiyu Zhou et al.
OPTIK (2018)
In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm
Vigneashwara Pandiyan et al.
JOURNAL OF MANUFACTURING PROCESSES (2018)
Research on practical power system stability analysis algorithm based on modified SVM
Kaiyuan Hou et al.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS (2018)
Seismic liquefaction potential assessed by neural networks
Xinhua Xue et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
An Improved Grey Wolf Optimization Strategy Enhanced SVM and Its Application in Predicting the Second Major
Yan Wei et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2017)
Developing novel models using neural networks and fuzzy systems for the prediction of strength of rocks from key geomechanical properties
L. K. Sharma et al.
MEASUREMENT (2017)
APPLICATION OF A PROBABILISTIC NEURAL NETWORK FOR LIQUEFACTION ASSESSMENT
X. Xue et al.
NEURAL NETWORK WORLD (2017)
A grey wolf optimizer-based support vector machine for the solubility of aromatic compounds in supercritical carbon dioxide
Xiao-Qiang Bian et al.
CHEMICAL ENGINEERING RESEARCH & DESIGN (2017)
Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence
Fei Kang et al.
APPLIED MATHEMATICAL MODELLING (2016)
Application of genetic algorithm-based support vector machines for prediction of soil liquefaction
Xinhua Xue et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis
Nhat-Duc Hoang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining
Jian Zhou et al.
JOURNAL OF VIBRATION AND CONTROL (2016)
Assessment of seismic liquefaction potential based on Bayesian network constructed from domain knowledge and history data
Ji-Lei Hu et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2016)
Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines
Jian Zhou et al.
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA (2016)
Assessment and Prediction of Liquefaction Potential Using Different Artificial Neural Network Models: A Case Study
Abbas Abbaszadeh Shahri
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2016)
Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction
Jian Zhou et al.
NATURAL HAZARDS (2015)
Evaluation of liquefaction potential based on CPT data using random forest
V. R. Kohestani et al.
NATURAL HAZARDS (2015)
The use of neural networks for CPT-based liquefaction screening
Yusuf Erzin et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
Takaya Saito et al.
PLOS ONE (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
CPT-based probabilistic evaluation of seismic soil liquefaction potential using multi-gene genetic programming
Pradyut Kumar Muduli et al.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS (2014)
APPRAISAL OF LIQUEFACTION POTENTIAL USING NEURAL NETWORK AND NEURO FUZZY APPROACH
Kumar Venkatesh et al.
APPLIED ARTIFICIAL INTELLIGENCE (2013)
Determination of liquefaction susceptibility of soil: a least square support vector machine approach
Pijush Samui et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2013)
Application of the adaptive neuro-fuzzy inference system for prediction of soil liquefaction
Xinhua Xue et al.
NATURAL HAZARDS (2013)
Seismic reliability assessment of RC structures including soil-structure interaction using wavelet weighted least squares support vector machine
Mohsen Khatibinia et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2013)
Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines
Zhou Jian et al.
SAFETY SCIENCE (2012)
Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations
C. Muro et al.
BEHAVIOURAL PROCESSES (2011)
Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes
Mingyuan Zhao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Support vector machine for evaluating seismic-liquefaction potential using shear wave velocity
Pijush Samui et al.
JOURNAL OF APPLIED GEOPHYSICS (2011)
Liquefaction of soil in the Tokyo Bay area from the 2011 Tohoku (Japan) earthquake
S. Bhattacharya et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2011)
Machine learning modelling for predicting soil liquefaction susceptibility
P. Samui et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2011)
Evaluation and prediction of blast-induced ground vibration using support vector machine
Manoj Khandelwal
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)
A systematic analysis of performance measures for classification tasks
Marina Sokolova et al.
INFORMATION PROCESSING & MANAGEMENT (2009)
Artificial neural network and liquefaction susceptibility assessment: a case study using the 2001 Bhuj earthquake data, Gujarat, India
D. Ramakrishnan et al.
COMPUTATIONAL GEOSCIENCES (2008)
Slope reliability analysis using a support vector machine
Hong-bo Zhao
COMPUTERS AND GEOTECHNICS (2008)
Neural network model for liquefaction potential in soil deposits using Turkey and Taiwan earthquake data
Adel M. Hanna et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2007)
Evaluation of liquefaction potential of soil deposits using artificial neural networks
Adel M. Hanna et al.
ENGINEERING COMPUTATIONS (2007)
Support vector machines: Their use in geotechnical engineering as illustrated using seismic liquefaction data
Anthony T. C. Goh et al.
COMPUTERS AND GEOTECHNICS (2007)
Support vector machines-based modelling of seismic liquefaction potential
Mahesh Pal
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2006)
A GA-based feature selection and parameters optimization for support vector machines
Cheng-Lung Huang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2006)
System reliability forecasting by support vector machines with genetic algorithms
PF Pai
MATHEMATICAL AND COMPUTER MODELLING (2006)
An introduction to ROC analysis
Tom Fawcett
PATTERN RECOGNITION LETTERS (2006)
CPT-based liquefaction analysis, Part 1: Determination of limit state function
CH Juang et al.
GEOTECHNIQUE (2000)
Share Paper
