Related references
Note: Only part of the references are listed.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)
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
Jin Duan et al.
ENGINEERING WITH COMPUTERS (2021)
A Novel Combination of Whale Optimization Algorithm and Support Vector Machine with Different Kernel Functions for Prediction of Blasting-Induced Fly-Rock in Quarry Mines
Hoang Nguyen et al.
NATURAL RESOURCES RESEARCH (2021)
A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam
Hoang Nguyen et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Optimization of ANFIS with GA and PSO estimating alpha ratio in driven piles
Hossein Moayedi et al.
ENGINEERING WITH COMPUTERS (2020)
Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques
Xuan-Nam Bui et al.
NATURAL RESOURCES RESEARCH (2020)
Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network
Hoang Nguyen et al.
NATURAL RESOURCES RESEARCH (2020)
Optimizing ANN models with PSO for predicting short building seismic response
Hoang Nguyen et al.
ENGINEERING WITH COMPUTERS (2020)
A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network
Yonghui Shang et al.
NATURAL RESOURCES RESEARCH (2020)
A comparative study of empirical and ensemble machine learning algorithms in predicting air over-pressure in open-pit coal mine
Hoang Nguyen et al.
ACTA GEOPHYSICA (2020)
Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms
Hoang Nguyen et al.
SENSORS (2020)
Prediction of Rock Size Distribution in Mine Bench Blasting Using a Novel Ant Colony Optimization-Based Boosted Regression Tree Technique
Shike Zhang et al.
NATURAL RESOURCES RESEARCH (2020)
Soft computing models for predicting blast-induced air over-pressure: A novel artificial intelligence approach
Hoang Nguyen et al.
APPLIED SOFT COMPUTING (2020)
Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization
Xiliang Zhang et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)
Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm
Hong Zhang et al.
RESOURCES POLICY (2020)
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting
S. Farid F. Mojtahedi et al.
ENGINEERING WITH COMPUTERS (2019)
A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine
Hoang Nguyen et al.
ACTA GEOPHYSICA (2019)
A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms
Hoang Nguyen et al.
APPLIED SOFT COMPUTING (2019)
Estimating DEM microparameters for uniaxial compression simulation with genetic programming
Marcelo De Simone et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2019)
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
Le Thi Le et al.
APPLIED SCIENCES-BASEL (2019)
Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system
Wenchao Jiang et al.
ENGINEERING WITH COMPUTERS (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)
Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study
Hoang Nguyen et al.
ACTA GEOPHYSICA (2019)
Support vector regression approach with different kernel functions for predicting blast-induced ground vibration: a case study in an open-pit coal mine of Vietnam
Hoang Nguyen
SN APPLIED SCIENCES (2019)
Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm
Roohollah Shirani Faradonbeh et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting
Mahdi Hasanipanah et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm
Parvin Faraji Asl et al.
ENGINEERING WITH COMPUTERS (2018)
Developing GPR model for forecasting the rock fragmentation in surface mines
Wei Gao et al.
ENGINEERING WITH COMPUTERS (2018)
Comparing the Random Forest with the Generalized Additive Model to Evaluate the Impacts of Outdoor Ambient Environmental Factors on Scaffolding Construction Productivity
Xin Liu et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2018)
Comparing the Random Forest with the Generalized Additive Model to Evaluate the Impacts of Outdoor Ambient Environmental Factors on Scaffolding Construction Productivity
Xin Liu et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2018)
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting
Mahdi Hasanipanah et al.
NEURAL COMPUTING & APPLICATIONS (2017)
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
Wei Chen et al.
GEOMORPHOLOGY (2017)
Identification of rock discontinuity sets based on a modified affinity propagation algorithm
Jie Liu et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2017)
Slope stability evaluation using Gaussian processes with various covariance functions
Fei Kang et al.
APPLIED SOFT COMPUTING (2017)
Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm
Ebrahim Ebrahimi et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2016)
Several non-linear models in estimating air-overpressure resulting from mine blasting
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2016)
A new hybrid ANFIS-PSO model for prediction of peak particle velocity due to bench blasting
Ebrahim Ghasemi et al.
ENGINEERING WITH COMPUTERS (2016)
Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system
Mahdi Hasanipanah et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Fuzzy mathematics model and its numerical method of stability analysis on rock slope of opencast metal mine
Wen-Xiu Li et al.
APPLIED MATHEMATICAL MODELLING (2015)
Thermal error modelling of machine tools based on ANFIS with fuzzy c-means clustering using a thermal imaging camera
Ali M. Abdulshahed et al.
APPLIED MATHEMATICAL MODELLING (2015)
A modified tunneling function method for non-smooth global optimization and its application in artificial neural network
Ying-Tao Xu et al.
APPLIED MATHEMATICAL MODELLING (2015)
Application of fuzzy inference system for prediction of rock fragmentation induced by blasting
Samira Shams et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
Danial Jahed Armaghani et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2015)
Application of PCA, SVR, and ANFIS for modeling of rock fragmentation
Mohammad Esmaeili et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Modeling of EDM responses by support vector machine regression with parameters selected by particle swarm optimization
Ushasta Aich et al.
APPLIED MATHEMATICAL MODELLING (2014)
Application of soft computing in predicting rock fragmentation to reduce environmental blasting side effects
Masoud Monjezi et al.
ARABIAN JOURNAL OF GEOSCIENCES (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)
Prediction of specific cutting energy in natural stone cutting processes using the neuro-fuzzy methodology
Murat Yurdakul et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2014)
Comparison Between Neural Networks and Multiple Regression Analysis to Predict Rock Fragmentation in Open-Pit Mines
Iman Enayatollahi et al.
ROCK MECHANICS AND ROCK ENGINEERING (2014)
Hybrid simulated annealing and MIP-based heuristics for stochastic lot-sizing and scheduling problem in capacitated multi-stage production system
Reza Ramezanian et al.
APPLIED MATHEMATICAL MODELLING (2013)
A comprehensive review of firefly algorithms
Iztok Fister et al.
SWARM AND EVOLUTIONARY COMPUTATION (2013)
Modeling ductile to brittle transition temperature of functionally graded steels by ANFIS
Ali Nazari et al.
APPLIED MATHEMATICAL MODELLING (2012)
Application of artificial intelligence algorithms in predicting tunnel convergence to avoid TBM jamming phenomenon
Satar Mahdevari et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2012)
Generalized additive models for location, scale and shape for high dimensional dataua flexible approach based on boosting
Andreas Mayr et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2012)
Regularization for Generalized Additive Mixed Models by Likelihood-based Boosting
A. Groll et al.
METHODS OF INFORMATION IN MEDICINE (2012)
Assessment of rock slope stability using the Fuzzy Slope Mass Rating (FSMR) system
Abbas Daftaribesheli et al.
APPLIED SOFT COMPUTING (2011)
Evaluating the strength of intact rocks through genetic programming
Mojtaba Asadi et al.
APPLIED SOFT COMPUTING (2011)
Practical variable selection for generalized additive models
Giampiero Marra et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2011)
Prediction of rock fragmentation due to blasting using artificial neural network
A. Bahrami et al.
ENGINEERING WITH COMPUTERS (2011)
Performance of fuzzy logic and artificial neural network in prediction of ground and air vibrations
Mostafa Tantawy Mohamed
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2011)
Prediction of blast-induced ground vibration using artificial neural network
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
A comparison of methods for the fitting of generalized additive models
Harald Binder et al.
STATISTICS AND COMPUTING (2008)
Generalized additive modeling with implicit variable selection by likelihood-based boosting
Gerhard Tutz et al.
BIOMETRICS (2006)
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
J. R. Leathwick et al.
ECOLOGICAL MODELLING (2006)
Generalized additive model and regression tree analyses of blue shark (Prionace glauca) catch rates by the Hawaii-based commercial longline fishery
WA Walsh et al.
FISHERIES RESEARCH (2001)
Nonparametric estimation of a generalized additive model with an unknown link function
JL Horowitz
ECONOMETRICA (2001)
Bayesian inference for generalized additive mixed models based on Markov random field priors
L Fahrmeir et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2001)
Additive logistic regression: A statistical view of boosting
J Friedman et al.
ANNALS OF STATISTICS (2000)
A comparison of regression spline smoothing procedures
MP Wand
COMPUTATIONAL STATISTICS (2000)
Share Paper
