Related references
Note: Only part of the references are listed.Strength evaluation of granite block samples with different predictive models
Qiancheng Fang et al.
ENGINEERING WITH COMPUTERS (2021)
Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples
Lei Sun et al.
ENGINEERING WITH COMPUTERS (2021)
Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm
Jian Zhou et al.
ENGINEERING WITH COMPUTERS (2021)
Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC)
Jian Zhou et al.
INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT (2021)
Prediction of Blast-Induced Ground Vibration in Open-Pit Mines Using a New Technique Based on Imperialist Competitive Algorithm and M5Rules
Qiancheng Fang et al.
NATURAL RESOURCES RESEARCH (2020)
Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques
Jian Zhou et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020)
Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets
Hooman Harandizadeh et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A Fuzzy Rule-Based Approach to Address Uncertainty in Risk Assessment and Prediction of Blast-Induced Flyrock in a Quarry
Mahdi Hasanipanah 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)
Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations
Dongchun Tang et al.
APPLIED SCIENCES-BASEL (2020)
Practical Risk Assessment of Ground Vibrations Resulting from Blasting, Using Gene Expression Programming and Monte Carlo Simulation Techniques
Amir Mahdiyar et al.
APPLIED SCIENCES-BASEL (2020)
Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness
Danial Jahed Armaghani et al.
SUSTAINABILITY (2020)
Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques
Roohollah Shirani Faradonbeh et al.
ENGINEERING WITH COMPUTERS (2019)
Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions
Mohammadreza Koopialipoor et al.
SOFT COMPUTING (2019)
Predicting tunnel boring machine performance through a new model based on the group method of data handling
Mohammadreza Koopialipoor et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Application of deep neural networks in predicting the penetration rate of tunnel boring machines
Mohammadreza Koopialipoor et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
A new hybrid method for predicting ripping production in different weathering zones through in situ tests
Edy Tonnizam Mohamad et al.
MEASUREMENT (2019)
A new approach for estimation of rock brittleness based on non-destructive tests
Mohammadreza Koopialipoor et al.
NONDESTRUCTIVE TESTING AND EVALUATION (2019)
Estimating the friction angle of black shale core specimens with hybrid-ANN approaches
Zehui Shao et al.
MEASUREMENT (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 Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest
Hoang Nguyen et al.
NATURAL RESOURCES RESEARCH (2019)
Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength
Lei Huang et al.
APPLIED SCIENCES-BASEL (2019)
Application of several optimization techniques for estimating TBM advance rate in granitic rocks
Danial Jahed Armaghani et al.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2019)
Improving Performance of Retaining Walls Under Dynamic Conditions Developing an Optimized ANN Based on Ant Colony Optimization Technique
Chuanhua Xu et al.
IEEE ACCESS (2019)
Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems
Behnam Yazdani Bejarbaneh et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2018)
Rock strength estimation: a PSO-based BP approach
E. Tonnizam Mohamad et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Airblast prediction through a hybrid genetic algorithm-ANN model
Danial Jahed Armaghani et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Regression-based models for the prediction of unconfined compressive strength of artificially structured soil
L. K. Sharma et al.
ENGINEERING WITH COMPUTERS (2018)
Application of Cloud Model in Rock Burst Prediction and Performance Comparison with Three Machine Learnings Algorithms
Yun Lin et al.
IEEE ACCESS (2018)
Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review
M. Hajihassani et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2018)
Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2017)
Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models
Manoj Khandelwal et al.
ENGINEERING WITH COMPUTERS (2017)
Reduction of the undesirable bench-blasting consequences with emphasis on ground vibration using a developed multi-objective stochastic programming
Ezzeddin Bakhtavar et al.
INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT (2017)
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
Danial Jahed Armaghani et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)
The Use of Data Mining Techniques in Rockburst Risk Assessment
Luis Ribeiro e Sousa et al.
ENGINEERING (2017)
Ripping Production Prediction in Different Weathering Zones According to Field Data
Edy Tonnizam Mohamad et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2017)
Metaheuristic post-optimization of the NIST repository of covering arrays
Jose Torres-Jimenez et al.
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2017)
Several non-linear models in estimating air-overpressure resulting from mine blasting
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2016)
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
Danial Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2016)
Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique
Roohollah Shirani Faradonbeh et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2016)
Estimation of air-overpressure produced by blasting operation through a neuro-genetic technique
Edy Tonnizam Mohamad et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Genetic programming and gene expression programming for flyrock assessment due to mine blasting
Roohollah Shirani Faradonbeh et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (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)
Wave runup prediction using M5′ model tree algorithm
S. Abolfathi et al.
OCEAN ENGINEERING (2016)
Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting
Danial Jahed Armaghani et al.
ROCK MECHANICS AND ROCK ENGINEERING (2016)
A New Model for Determining Slope Stability Based on Seismic Motion Performance
B. Gordan et al.
Soil Mechanics and Foundation Engineering (2016)
Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach
Mohsen Hajihassani et al.
ENVIRONMENTAL EARTH SCIENCES (2015)
Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding
Arash Kamari et al.
FUEL (2015)
Strength characterisation of shale using Mohr-Coulomb and Hoek-Brown criteria
Behnam Yazdani Bejarbaneh et al.
MEASUREMENT (2015)
Feasibility of indirect determination of blast induced ground vibration based on support vector machine
Mahdi Hasanipanah et al.
MEASUREMENT (2015)
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)
Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization
M. Hajihassani et al.
APPLIED ACOUSTICS (2014)
Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
D. Jahed Armaghani et al.
ARABIAN JOURNAL OF GEOSCIENCES (2014)
Stochastic Modeling Approach for the Evaluation of Backbreak due to Blasting Operations in Open Pit Mines
Mehmet Sari et al.
ROCK MECHANICS AND ROCK ENGINEERING (2014)
A new methodology to predict backbreak in blasting operation
M. Mohammadnejad et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2013)
Evaluating the strength of intact rocks through genetic programming
Mojtaba Asadi et al.
APPLIED SOFT COMPUTING (2011)
Prediction of blast-induced air overpressure using support vector machine
Manoj Khandelwal et al.
ARABIAN JOURNAL OF GEOSCIENCES (2011)
Prediction and controlling of flyrock in blasting operation using artificial neural network
M. Monjezi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2011)
Function identification for the intrinsic strength and elastic properties of granitic rocks via genetic programming (GP)
Murat Karakus
COMPUTERS & GEOSCIENCES (2011)
Prediction of rock fragmentation due to blasting using artificial neural network
A. Bahrami et al.
ENGINEERING WITH COMPUTERS (2011)
Application of a hybrid method of machine learning for description and on-line estimation of methane hazard in mine workings
M. Sikora et al.
JOURNAL OF MINING SCIENCE (2011)
Development of a fuzzy model to predict flyrock in surface mining
M. Rezaei et al.
SAFETY SCIENCE (2011)
Prediction of near field overpressure from quarry blasting
P. Segarra et al.
APPLIED ACOUSTICS (2010)
Genetic programming approach for estimating the deformation modulus of rock mass using sensitivity analysis by neural network
Morteza Beiki et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)
Prediction of the air wave due to blasting inside tunnels: Approximation to a 'phonometric curve'
Rafael Rodriguez et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2010)
Elliptical airblast overpressure model
A. B. Richards
TRANSACTIONS OF THE INSTITUTIONS OF MINING AND METALLURGY SECTION A-MINING TECHNOLOGY (2010)
Operational and geological parameters in the assessing blast induced airblast-overpressure in quarries
C. Kuzu et al.
APPLIED ACOUSTICS (2009)
Prediction of blast-induced ground vibration using artificial neural network
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
Prediction of compressive and tensile strength of limestone via genetic programming
Adil Baykasoglu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
A comparison of bloat control methods for genetic programming
Sean Luke et al.
EVOLUTIONARY COMPUTATION (2006)