Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm
Authors
Keywords
-
Journal
ENGINEERING COMPUTATIONS
Volume -, Issue -, Pages -
Publisher
Emerald
Online
2018-07-11
DOI
10.1108/ec-08-2017-0290
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Prediction of blast-produced ground vibration using particle swarm optimization
- (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
- Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system
- (2016) Mahdi Hasanipanah et al. Environmental Earth Sciences
- Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting
- (2016) Mahdi Hasanipanah et al. NEURAL COMPUTING & APPLICATIONS
- A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
- (2015) Danial Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting
- (2015) Danial Jahed Armaghani et al. Environmental Earth Sciences
- 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
- 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
- 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
- Prediction of environmental impacts of quarry blasting operation using fuzzy logic
- (2010) Abdullah Fişne et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Development of a fuzzy model to predict flyrock in surface mining
- (2010) M. Rezaei et al. SAFETY SCIENCE
- Sensitivity of total charge and maximum charge per delay on ground vibration
- (2010) T. N. Singh et al. Geomatics Natural Hazards & Risk
- Prediction of blast-induced ground vibration using artificial neural network
- (2009) Manoj Khandelwal et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started