Related references
Note: Only part of the references are listed.Improved Z-number based fuzzy fault tree approach to analyze health and safety risks in surface mines
Izhar Mithal Jiskani et al.
RESOURCES POLICY (2022)
Green blasting policy: Simultaneous forecast of vertical and horizontal distribution of dust emissions using artificial causality-weighted neural network
Ezzeddin Bakhtavar et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Prediction of Dust Emission Due to Open Pit Mine Blasting Using a Hybrid Artificial Neural Network
Shahab Hosseini et al.
NATURAL RESOURCES RESEARCH (2021)
Air Pollution Risk Assessment Using a Hybrid Fuzzy Intelligent Probability-Based Approach: Mine Blasting Dust Impacts
Ezzeddin Bakhtavar et al.
NATURAL RESOURCES RESEARCH (2021)
A Fuzzy Rule-Based Approach to Address Uncertainty in Risk Assessment and Prediction of Blast-Induced Flyrock in a Quarry
Mahdi Hasanipanah et al.
NATURAL RESOURCES RESEARCH (2020)
Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities
Konstantinos Papageorgiou et al.
SUSTAINABILITY (2020)
An Application of Rock Engineering System for Assessment of the Rock Mass Fragmentation: A Hybrid Approach and Case Study
Amir Azadmehr et al.
ROCK MECHANICS AND ROCK ENGINEERING (2019)
Renewable energy based mine reclamation strategy: A hybrid fuzzy-based network analysis
E. Bakhtavar et al.
JOURNAL OF CLEANER PRODUCTION (2019)
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting
Mahdi Hasanipanah et al.
NEURAL COMPUTING & APPLICATIONS (2018)
A Risk-Based Technique to Analyze Flyrock Results Through Rock Engineering System
Mahdi Hasanipanah et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2018)
Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm
Ebrahim Ebrahimi et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2016)
Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system
Mahdi Hasanipanah et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Application of fuzzy inference system for prediction of rock fragmentation induced by blasting
Samira Shams et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Application of PCA, SVR, and ANFIS for modeling of rock fragmentation
Mohammad Esmaeili et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Using dimensional-regression analysis to predict the mean particle size of fragmentation by blasting at the Sungun copper mine
E. Bakhtavar et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Determination and Assessment of Parameters Influencing Rock Mass Cavability in Block Caving Mines Using the Probabilistic Rock Engineering System
Ramin Rafiee et al.
ROCK MECHANICS AND ROCK ENGINEERING (2015)
Risk analysis and prediction of out-of-seam dilution in longwall mining
Ali Bahri Najafi et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2014)
Development of Rock Engineering Systems-Based Models for Flyrock Risk Analysis and Prediction of Flyrock Distance in Surface Blasting
Farhad Faramarzi et al.
ROCK MECHANICS AND ROCK ENGINEERING (2014)
Development of a Rock Groutability Index Based on the Rock Engineering Systems (RES): A Case Study
Omid Saeidi et al.
INDIAN GEOTECHNICAL JOURNAL (2014)
An application of rock engineering systems for estimating TBM downtimes
Omid Frough et al.
ENGINEERING GEOLOGY (2013)
A rock engineering systems based model to predict rock fragmentation by blasting
F. Faramarzi et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2013)
An RES-Based Model for Risk Assessment and Prediction of Backbreak in Bench Blasting
F. Faramarzi et al.
ROCK MECHANICS AND ROCK ENGINEERING (2013)
Sizing of rock fragmentation modeling due to bench blasting using adaptive neuro-fuzzy inference system (ANFIS)
Karami Alireza et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2013)
comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak
A. Sayadi et al.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2013)
Fuzzy cognitive map ensemble learning paradigm to solve classification problems: Application to autism identification
Elpiniki I. Papageorgiou et al.
APPLIED SOFT COMPUTING (2012)
Application of multivariate analysis for prediction of blast-induced ground vibrations
Turker Hudaverdi
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2012)
Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction
Shi Xiu-zhi et al.
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA (2012)
Prediction of rock fragmentation due to blasting using artificial neural network
A. Bahrami et al.
ENGINEERING WITH COMPUTERS (2011)
A Note on Z-numbers
Lotfi A. Zadeh
INFORMATION SCIENCES (2011)
Prediction of blast fragmentation using multivariate analysis procedures
T. Hudaverdi et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2011)
Mean particle size prediction in rock blast fragmentation using neural networks
P. H. S. W. Kulatilake et al.
ENGINEERING GEOLOGY (2010)
Prediction of rock fragmentation due to blastingin Gol-E-Gohar iron mine using fuzzy logic
M. Monjezi et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
Prediction of blast-induced ground vibration using artificial neural network
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
An application of the interaction matrices method for slope failure susceptibility zoning: Dogankent settlement area (Giresun, NE Turkey)
Nurcihan Ceryan et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2008)
Monte Carlo simulation as a tool to predict blasting fragmentation based on the Kuz-Ram model
MA Morin et al.
COMPUTERS & GEOSCIENCES (2006)
A methodology for assessing geotechnical hazards for TBM tunnelling - illustrated by the Athens Metro, Greece
AG Benardos et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2004)
Dynamical cognitive network - an extension of fuzzy cognitive map
Y Miao et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2001)