Toward a State-of-the-Art of Fly-Rock Prediction Technology in Open-Pit Mines Using EANNs Model

Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

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 Flyrock in Mine Blasting: A New Computational Intelligence Approach

(2019) Hima Nikafshan Rad 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

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

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

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

(2019) Hoang Nguyen 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

Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost

(2019) Xiliang Zhang et al.   Natural Resources Research

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

A novel artificial intelligence technique for analyzing slope stability using PSO-CA model

(2019) Zhenyan Luo et al.   ENGINEERING WITH COMPUTERS

A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET

(2019) Hongquan Guo et al.   ENGINEERING WITH COMPUTERS

A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization

(2019) Xuan-Nam Bui et al.   Scientific Reports

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

Developing GPR model for forecasting the rock fragmentation in surface mines

(2017) Wei Gao et al.   ENGINEERING WITH COMPUTERS

Review of photovoltaic and wind power systems utilized in the mining industry

(2017) Yosoon Choi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Nano properties analysis via fourth multiplicative ABC indicator calculating

(2017) Wei Gao et al.   Arabian Journal of Chemistry

Natural Resources Research Publications on Geochemical Anomaly and Mineral Potential Mapping, and Introduction to the Special Issue of Papers in These Fields

(2017) Emmanuel John M. Carranza   Natural Resources Research

Mineral Systems Analysis and Artificial Neural Network Modeling of Chromite Prospectivity in the Western Limb of the Bushveld Complex, South Africa

(2017) Abera Tessema   Natural Resources Research

A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting

(2016) Ebrahim Ghasemi et al.   ENGINEERING WITH COMPUTERS

Prediction of blast-induced flyrock using differential evolution algorithm

(2016) Hesam Dehghani 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

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

(2016) Khalil Taheri et al.   ENGINEERING WITH COMPUTERS

Development of a precise model for prediction of blast-induced flyrock using regression tree technique

(2016) Mahdi Hasanipanah et al.   Environmental Earth Sciences

Prediction of self-compacting concrete strength using artificial neural networks

(2016) P.G. Asteris et al.   European Journal of Environmental and Civil Engineering

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm

(2016) Roohollah Shirani Faradonbeh et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines

(2016) Jian ZHOU et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan

(2015) Jie Dou et al.   TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES

Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

(2014) Mohsen Hajihassani et al.   Bulletin of Engineering Geology and the Environment

Data-Driven Evidential Belief Modeling of Mineral Potential Using Few Prospects and Evidence with Missing Values

(2014) Emmanuel John M. Carranza   Natural Resources Research

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

Application of artificial intelligence techniques for predicting the flyrock distance caused by blasting operation

(2012) Ebrahim Ghasemi et al.   Arabian Journal of Geosciences

A new algorithm to calculate weighted flow-accumulation from a DEM by considering surface and underground stormwater infrastructure

(2011) Yosoon Choi   ENVIRONMENTAL MODELLING & SOFTWARE

Evaluation of flyrock phenomenon due to blasting operation by support vector machine

(2011) Hasel Amini et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach

(2010) M. Monjezi et al.   Arabian Journal of Geosciences

Application of Artificial Neural Network for Gold–Silver Deposits Potential Mapping: A Case Study of Korea

(2010) Hyun-Joo Oh et al.   Natural Resources Research

Prediction and controlling of flyrock in blasting operation using artificial neural network

(2009) M. Monjezi et al.   Arabian Journal of Geosciences

Prediction of blast-induced ground vibration using artificial neural network

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

Flood and gully erosion problems at the Pasir open pit coal mine, Indonesia: a case study of the hydrology using GIS

(2008) Yosoon Choi et al.   Bulletin of Engineering Geology and the Environment