A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

(2019) Hoang Nguyen et al.   Natural Resources Research

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques

(2019) Xuan-Nam Bui et al.   Natural Resources Research

Developing a predictive method based on optimized M5Rules–GA predicting heating load of an energy-efficient building system

(2019) Xuan-Nam Bui et al.   ENGINEERING WITH COMPUTERS

Optimization of ANFIS with GA and PSO estimating α ratio in driven piles

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Prediction of energetic performance of a building integrated photovoltaic/thermal system thorough artificial neural network and hybrid particle swarm optimization models

(2019) Abdulwahab A. Alnaqi et al.   ENERGY CONVERSION AND MANAGEMENT

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

(2019) Hoang Nguyen et al.   Acta Geophysica

Artificial intelligence approaches for spatial modeling of streambed hydraulic conductivity

(2019) Sujay Raghavendra Naganna et al.   Acta Geophysica

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

(2019) Hoang Nguyen et al.   APPLIED SOFT COMPUTING

Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis

(2019) Xuan-Nam Bui et al.   ENGINEERING WITH COMPUTERS

Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Optimizing ANN models with PSO for predicting short building seismic response

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm

(2018) Katayoun Behzadafshar et al.   ENGINEERING COMPUTATIONS

Proposing of a new soft computing-based model to predict peak particle velocity induced by blasting

(2018) Taha Mokfi et al.   ENGINEERING WITH COMPUTERS

Monitoring of blast-induced ground vibration using WSN and prediction with an ANN approach of ACC dungri limestone mine, India

(2018) Prashanth Ragam et al.   Journal of Vibroengineering

Artificial neural networks used in optimization problems

(2018) Gabriel Villarrubia et al.   NEUROCOMPUTING

Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile

(2018) Hossein Moayedi et al.   International Journal of Geomechanics

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

(2018) Hoang Nguyen et al.   NEURAL COMPUTING & APPLICATIONS

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

(2018) Hoang Nguyen et al.   Natural Resources Research

Forecasting ground vibration due to rock blasting: a hybrid intelligent approach using support vector regression and fuzzy C-means clustering

(2017) Hasan Sheykhi et al.   ENGINEERING WITH COMPUTERS

Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

(2017) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand

(2017) Hossein Moayedi et al.   NEURAL COMPUTING & APPLICATIONS

Seismic activity prediction using computational intelligence techniques in northern Pakistan

(2017) Khawaja M. Asim et al.   Acta Geophysica

Prediction of blast-produced ground vibration using particle swarm optimization

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Classification and regression tree technique in estimating peak particle velocity caused by blasting

(2016) Manoj Khandelwal et al.   ENGINEERING WITH COMPUTERS

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

(2016) Maryam Amiri et al.   ENGINEERING WITH COMPUTERS

Feasibility of ICA in approximating ground vibration resulting from mine blasting

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Predicting protein–protein interaction sites using modified support vector machine

(2016) Hong Guo et al.   International Journal of Machine Learning and Cybernetics

NMR Parameters Determination through ACE Committee Machine with Genetic Implanted Fuzzy Logic and Genetic Implanted Neural Network

(2015) Mojtaba Asoodeh et al.   Acta Geophysica

Effect of bedding plane on prediction blast-induced ground vibration in open pit coal mines

(2015) Ganda Marihot Simangunsong et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

NMR Parameters Determination through ACE Committee Machine with Genetic Implanted Fuzzy Logic and Genetic Implanted Neural Network

(2015) Mojtaba Asoodeh et al.   Acta Geophysica

Applicability of artificial intelligence to reservoir induced earthquakes

(2014) Pijush Samui et al.   Acta Geophysica

Accurate Fault Classifier and Locator for EHV Transmission Lines Based on Artificial Neural Networks

(2014) Moez Ben Hessine et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Evaluation of liquefaction potential of soil based on standard penetration test using multi-gene genetic programming model

(2013) Pradyut K. Muduli et al.   Acta Geophysica

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Development of a fuzzy model for predicting ground vibration caused by rock blasting in surface mining

(2012) Ebrahim Ghasemi et al.   JOURNAL OF VIBRATION AND CONTROL

Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network

(2012) Masoud Monjezi et al.   NEURAL COMPUTING & APPLICATIONS

Design of blasting pattern in proportion to the peak particle velocity (PPV): Artificial neural networks approach

(2012) H. Bakhshandeh Amnieh et al.   SAFETY SCIENCE

Intelligent systems for ground vibration measurement: a comparative study

(2010) A. K. Verma et al.   ENGINEERING WITH COMPUTERS

Prediction of blast-induced ground vibration using artificial neural network

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Evaluation of effect of blasting pattern parameters on back break using neural networks

(2008) M. Monjezi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Theoretical Derivation of a Peak Particle Velocity–Distance Law for the Prediction of Vibrations from Blasting

(2008) Luigi Sambuelli   ROCK MECHANICS AND ROCK ENGINEERING

The effect of discontinuity frequency on ground vibrations produced from bench blasting: A case study

(2008) Hakan Ak et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING