A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network
Authors
Keywords
Ground vibration, Quarry mine, Artificial intelligence, Firefly algorithm, Hybrid model
Journal
Natural Resources Research
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-06-08
DOI
10.1007/s11053-019-09503-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
- Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction
- (2019) Clement Kweku Arthur et al. International Journal of Mining Reclamation and Environment
- 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
- Prediction of ultimate bearing capacity through various novel evolutionary and neural network models
- (2019) Hossein Moayedi et al. ENGINEERING WITH COMPUTERS
- Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm
- (2019) Jian Zhou et al. ENGINEERING WITH COMPUTERS
- Sensitivity analysis of artificial neural networks for just-suspension speed prediction in solid-liquid mixing systems: Performance comparison of MLPNN and RBFNN
- (2019) Shaliza Ibrahim et al. ADVANCED ENGINEERING INFORMATICS
- 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
- Convolutional neural network: Deep learning-based classification of building quality problems
- (2019) Botao Zhong et al. ADVANCED ENGINEERING INFORMATICS
- 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
- 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
- Neuro-fuzzy based approach for prediction of blast-induced ground vibration
- (2019) Xinhua Xue APPLIED ACOUSTICS
- Automated residential building detection from airborne LiDAR data with deep neural networks
- (2018) Zixiang Zhou et al. ADVANCED ENGINEERING INFORMATICS
- Automatic classification of fine-grained soils using CPT measurements and Artificial Neural Networks
- (2018) Cormac Reale et al. ADVANCED ENGINEERING INFORMATICS
- Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction
- (2018) Sundaravelpandian Singaravel et al. ADVANCED ENGINEERING INFORMATICS
- Farmland Fertility: A New Metaheuristic Algorithm for Solving Continuous Optimization Problems
- (2018) Human Shayanfar et al. APPLIED SOFT COMPUTING
- Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm
- (2018) Katayoun Behzadafshar et al. ENGINEERING COMPUTATIONS
- Multi-planar detection optimization algorithm for the interval charging structure of large-diameter longhole blasting design based on rock fragmentation aspects
- (2018) Mingzheng Wang et al. ENGINEERING OPTIMIZATION
- Empirical and probabilistic analysis of blast-induced ground vibrations
- (2018) Sunny Murmu et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Assessing and controlling of bench blasting-induced vibrations to minimize impacts to a neighboring community
- (2018) V.F. Navarro Torres et al. JOURNAL OF CLEANER PRODUCTION
- Artificial neural networks used in optimization problems
- (2018) Gabriel Villarrubia et al. NEUROCOMPUTING
- Robust tuning of excitation controller for stability enhancement using multi-objective metaheuristic Firefly algorithm
- (2018) Mahesh Singh et al. Swarm and Evolutionary Computation
- Charge design scheme optimization for ring blasting based on the developed Scaled Heelan model
- (2018) Mingzheng Wang et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- 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
- Point cloud occlusion recovery with shallow feedforward neural networks
- (2018) Luigi Barazzetti ADVANCED ENGINEERING INFORMATICS
- Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network
- (2018) Dieu Tien Bui et al. ADVANCED ENGINEERING INFORMATICS
- Effect of equivalence ratio on gas distribution and performance parameters in air-gasification of asphaltene: A model based on Artificial Neural Network (ANN)
- (2018) Wei Gao et al. PETROLEUM SCIENCE AND TECHNOLOGY
- 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
- Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms
- (2017) Roohollah Shirani Faradonbeh et al. ENGINEERING WITH COMPUTERS
- Analysis of k-partite ranking algorithm in area under the receiver operating characteristic curve criterion
- (2017) Wei Gao et al. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
- Prediction of blast-produced ground vibration using particle swarm optimization
- (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
- 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
- Load frequency control of power system under deregulated environment using optimal firefly algorithm
- (2016) G.T. Chandra Sekhar et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods
- (2016) Jian Zhou et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining
- (2016) Jian Zhou et al. JOURNAL OF VIBRATION AND CONTROL
- Optimizing connection weights in neural networks using the whale optimization algorithm
- (2016) Ibrahim Aljarah et al. SOFT COMPUTING
- Feasibility of indirect determination of blast induced ground vibration based on support vector machine
- (2015) Mahdi Hasanipanah et al. MEASUREMENT
- 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
- A hybrid discrete firefly algorithm for multi-objective flexible job shop scheduling problem with limited resource constraints
- (2014) S. Karthikeyan et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Attenuation of ground vibrations using in-filled wave barriers
- (2014) S.D. Ekanayake et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- A comprehensive review of firefly algorithms
- (2013) Iztok Fister et al. Swarm and Evolutionary Computation
- 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
- Comparative study of cognitive systems for ground vibration measurements
- (2012) A. K. Verma et al. NEURAL COMPUTING & APPLICATIONS
- Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines
- (2011) Jian Zhou et al. SAFETY SCIENCE
- Prediction of blast-induced ground vibration using artificial neural networks
- (2010) M. Monjezi et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Modeling blast wave propagation using artificial neural network methods
- (2009) Ian Flood et al. ADVANCED ENGINEERING INFORMATICS
- Application of soft computing to predict blast-induced ground vibration
- (2009) Manoj Khandelwal et al. ENGINEERING WITH COMPUTERS
- Control negative effects of blasting waves on concrete of the structures by analyzing of parameters of ground vibration
- (2009) R. Nateghi et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Waveform analysis in mitigation of blast-induced vibrations
- (2008) G.G.U. Aldas et al. JOURNAL OF APPLIED GEOPHYSICS
- The importance of site-specific characters in prediction models for blast-induced ground vibrations
- (2007) Cengiz Kuzu SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More