Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques
出版年份 2019 全文链接
标题
Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques
作者
关键词
Mining environment, Air over-pressure, Blasting, Artificial intelligence, Open-pit mine
出版物
Natural Resources Research
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-02-02
DOI
10.1007/s11053-019-09461-0
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Indoor environmental conditions in urban and rural homes with older people during heating season: A case in cold region, China
- (2018) Guangtao Fan et al. ENERGY AND BUILDINGS
- Probabilistic air-overpressure simulation resulting from blasting operations
- (2018) Amir Mahdiyar et al. Environmental Earth Sciences
- Development of GP and GEP models to estimate an environmental issue induced by blasting operation
- (2018) Roohollah Shirani Faradonbeh et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- An integrated life cycle inventory and artificial neural network model for mining air pollution management
- (2018) Z. Asif et al. International Journal of Environmental Science and Technology
- On identifying k -nearest neighbors in neighborhood models for efficient and effective collaborative filtering
- (2018) Dong-Kyu Chae et al. NEUROCOMPUTING
- How priors of initial hyperparameters affect Gaussian process regression models
- (2018) Zexun Chen et al. NEUROCOMPUTING
- Physicochemical risk factors for building-related symptoms in air-conditioned office buildings: Ambient particles and combined exposure to indoor air pollutants
- (2018) Kenichi Azuma et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 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
- The potential application of particle swarm optimization algorithm for forecasting the air-overpressure induced by mine blasting
- (2017) Amir AminShokravi et al. ENGINEERING WITH COMPUTERS
- Prediction of an environmental issue of mine blasting: an imperialistic competitive algorithm-based fuzzy system
- (2017) M. Hasanipanah et al. International Journal of Environmental Science and Technology
- An efficient instance selection algorithm for k nearest neighbor regression
- (2017) Yunsheng Song et al. NEUROCOMPUTING
- 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
- 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
- Development of a precise model for prediction of blast-induced flyrock using regression tree technique
- (2016) Mahdi Hasanipanah et al. Environmental Earth Sciences
- Toward predicting blast-induced flyrock: a hybrid dimensional analysis fuzzy inference system
- (2016) E. Bakhtavar et al. International Journal of Environmental Science and Technology
- Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection
- (2016) Antonio R. Linero JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Airblast prediction through a hybrid genetic algorithm-ANN model
- (2016) Danial Jahed Armaghani et al. NEURAL COMPUTING & APPLICATIONS
- Efficient sparsification for Gaussian process regression
- (2016) Jens Schreiter et al. NEUROCOMPUTING
- Neuro-fuzzy technique to predict air-overpressure induced by blasting
- (2015) Danial Jahed Armaghani et al. Arabian Journal of Geosciences
- Several non-linear models in estimating air-overpressure resulting from mine blasting
- (2015) Mahdi Hasanipanah et al. ENGINEERING WITH COMPUTERS
- A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
- (2015) Danial Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
- (2015) Danial Jahed Armaghani et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Feasibility of indirect determination of blast induced ground vibration based on support vector machine
- (2015) Mahdi Hasanipanah et al. MEASUREMENT
- Environmental Geochemistry and Acid Mine Drainage Evaluation of an Abandoned Coal Waste Pile at the Alborz-Sharghi Coal Washing Plant, NE Iran
- (2015) Behshad Jodeiri Shokri et al. Natural Resources Research
- Variable selection for BART: An application to gene regulation
- (2014) Justin Bleich et al. Annals of Applied Statistics
- Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization
- (2014) M. Hajihassani et al. APPLIED ACOUSTICS
- Comparing the determinants of cropland abandonment in Albania and Romania using boosted regression trees
- (2013) Daniel Müller et al. AGRICULTURAL SYSTEMS
- Application of an Expert System to Predict Maximum Explosive Charge Used Per Delay in Surface Mining
- (2013) Manoj Khandelwal et al. ROCK MECHANICS AND ROCK ENGINEERING
- Energy and the Environment: The Relationship Between Coal Production and the Environment in China
- (2013) Nyakundi M. Michieka Natural Resources Research
- 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
- Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction
- (2012) Xiu-zhi SHI et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- Performance of fuzzy logic and artificial neural network in prediction of ground and air vibrations
- (2011) Mostafa Tantawy Mohamed INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Evaluation of flyrock phenomenon due to blasting operation by support vector machine
- (2011) Hasel Amini et al. NEURAL COMPUTING & APPLICATIONS
- BART: Bayesian additive regression trees
- (2010) Hugh A. Chipman et al. Annals of Applied Statistics
- Prediction of near field overpressure from quarry blasting
- (2010) P. Segarra et al. APPLIED ACOUSTICS
- Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach
- (2010) M. Monjezi et al. Arabian Journal of Geosciences
- Intelligent systems for ground vibration measurement: a comparative study
- (2010) A. K. Verma et al. ENGINEERING WITH COMPUTERS
- Bayesian Nonparametric Modeling for Causal Inference
- (2010) Jennifer L. Hill JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Biomechanical Assessment of Brain Dynamic Responses Due to Blast Pressure Waves
- (2009) M. S. Chafi et al. ANNALS OF BIOMEDICAL ENGINEERING
- Prediction of blast-induced air overpressure using support vector machine
- (2009) Manoj Khandelwal et al. Arabian Journal of Geosciences
- 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
- Operational and geological parameters in the assessing blast induced airblast-overpressure in quarries
- (2008) C. Kuzu et al. APPLIED ACOUSTICS
- Artificial neural network for prediction and control of blasting vibrations in Assiut (Egypt) limestone quarry
- (2008) Mostafa Tantawy Mohamed INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- A working guide to boosted regression trees
- (2008) J. Elith et al. JOURNAL OF ANIMAL ECOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started