Related references
Note: Only part of the references are listed.Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting
Jian Zhou et al.
ENGINEERING WITH COMPUTERS (2021)
GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles
Zhenyan Luo et al.
ENGINEERING WITH COMPUTERS (2021)
Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2021)
Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm
Xiaohua Ding et al.
ENGINEERING WITH COMPUTERS (2021)
Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS
Hongjun Jing et al.
ENGINEERING WITH COMPUTERS (2021)
A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration
Wusi Chen et al.
ENGINEERING WITH COMPUTERS (2021)
Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm
Danial Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2020)
ORELM: A Novel Machine Learning Approach for Prediction of Flyrock in Mine Blasting
Xiang Lu et al.
NATURAL RESOURCES RESEARCH (2020)
Prediction of Vibration Velocity Generated in Mine Blasting Using Support Vector Regression Improved by Optimization Algorithms
Haiqing Yang et al.
NATURAL RESOURCES RESEARCH (2020)
Concrete compressive strength using artificial neural networks
Panagiotis G. Asteris et al.
NEURAL COMPUTING & APPLICATIONS (2020)
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)
Feasibility of indirect measurement of bearing capacity of driven piles based on a computational intelligence technique
Guoquan Sun et al.
MEASUREMENT (2020)
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining
Maryam Amiri et al.
NEURAL COMPUTING & APPLICATIONS (2020)
The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock
Mahdi Hasanipanah et al.
IEEE ACCESS (2020)
Peak shear strength prediction for discontinuities between two different rock types using a neural network approach
Qiong Wu et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Optimal Charge Scheme Calculation for Multiring Blasting Using Modified Harries Mathematical Model
Mingzheng Wang et al.
JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES (2019)
Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories
Jian Zhou et al.
JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES (2019)
A hybrid intelligent approach for constructing landslide displacement prediction intervals
Yankun Wang et al.
APPLIED SOFT COMPUTING (2019)
Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
Hai Xu et al.
APPLIED SCIENCES-BASEL (2019)
A new framework for characterizing landslide deformation: a case study of the Yu-Kai highway landslide in Guizhou, China
Huiming Tang et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures
Panagiotis G. Asteris et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting
Mahdi Hasanipanah et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Developing a least squares support vector machine for estimating the blast-induced flyrock
Hima Nikafshan Rad et al.
ENGINEERING WITH COMPUTERS (2018)
Prediction of an environmental issue of mine blasting: an imperialistic competitive algorithm-based fuzzy system
M. Hasanipanah et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2018)
Multi-planar detection optimization algorithm for the interval charging structure of large-diameter longhole blasting design based on rock fragmentation aspects
Mingzheng Wang et al.
ENGINEERING OPTIMIZATION (2018)
Charge design scheme optimization for ring blasting based on the developed Scaled Heelan model
Mingzheng Wang et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2018)
Evaluation method of rockburst: State-of-the-art literature review
Jian Zhou et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)
Developing a new hybrid-AI model to predict blast-induced backbreak
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2017)
Indirect estimation of compressive and shear strength from simple index tests
P. K. Singh et al.
ENGINEERING WITH COMPUTERS (2017)
Prediction of blast-produced ground vibration using particle swarm optimization
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2017)
Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2017)
Forecasting blast-induced ground vibration developing a CART model
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2017)
Development of a precise model for prediction of blast-induced flyrock using regression tree technique
Mahdi Hasanipanah et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting
Mahdi Hasanipanah et al.
NEURAL COMPUTING & APPLICATIONS (2017)
Influences of Normal Loading Rate and Shear Velocity on the Shear Behavior of Artificial Rock Joints
Zhi Cheng Tang et al.
ROCK MECHANICS AND ROCK ENGINEERING (2016)
Comparison of Joint Shearing Resistance Obtained with the Barton and Choubey Criterion and with Direct Shear Tests
D. Sow et al.
ROCK MECHANICS AND ROCK ENGINEERING (2016)
Optimum Seismic Zoning Using An Artificial Neural Network
Jaime Garcia-Perez et al.
EARTHQUAKE SPECTRA (2016)
Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming
S. Alemdag et al.
ENGINEERING GEOLOGY (2016)
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2016)
Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system
Mahdi Hasanipanah et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Choosing Appropriate Parameters for Developing Empirical Shear Strength Criterion of Rock Joint: Review and New Insights
Zhi Cheng Tang et al.
ROCK MECHANICS AND ROCK ENGINEERING (2016)
Multiple neural networks switched prediction for landslide displacement
Cheng Lian et al.
ENGINEERING GEOLOGY (2015)
Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction
Jian Zhou et al.
NATURAL HAZARDS (2015)
Prediction of the diameter of jet grouting columns with artificial neural networks
M. Ochmanski et al.
SOILS AND FOUNDATIONS (2015)
A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece)
Christos Polykretis et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
New Method for Shear Strength Determination of Unfilled, Unweathered Rock Joint
Hyun-Sic Jang et al.
ROCK MECHANICS AND ROCK ENGINEERING (2015)
Assessing the Shear Strength of Rock Discontinuities at Laboratory and Field Scales
S. R. Hencher et al.
ROCK MECHANICS AND ROCK ENGINEERING (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
Ant Colony Estimator: An intelligent particle filter based on ACOR
S. Mostapha Kalami Heris et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2014)
The Influence of Shearing Velocity on Shear Behavior of Artificial Joints
Hadi Atapour et al.
ROCK MECHANICS AND ROCK ENGINEERING (2014)
Effects of Cyclic Loading on the Shear Behaviour of Infilled Rock Joints Under Constant Normal Stiffness Conditions
Ali Mirzaghorbanali et al.
ROCK MECHANICS AND ROCK ENGINEERING (2014)
Application of back-propagation neural network on bank destruction forecasting for accumulative landslides in the three Gorges Reservoir Region, China
Changdong Li et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2014)
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network
Masoud Monjezi et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Predicting tunnel convergence using Multivariate Adaptive Regression Spline and Artificial Neural Network
Amoussou-Coffi Adoko et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2013)
Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines
Zhou Jian et al.
SAFETY SCIENCE (2012)
Prediction of tunnel convergence using Artificial Neural Networks
Satar Mahdevari et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2012)
Intelligent prediction of the stress-strain response of intact and jointed rocks
Arunakumari Garaga et al.
COMPUTERS AND GEOTECHNICS (2010)
Genetic programming approach for estimating the deformation modulus of rock mass using sensitivity analysis by neural network
Morteza Beiki et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)
Evolving neural network using a genetic algorithm for predicting the deformation modulus of rock masses
Abbas Majdi et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)
The Shear Behavior of Bedding Planes of Weakness Between Two Different Rock Types with High Strength Difference
A. H. Ghazvinian et al.
ROCK MECHANICS AND ROCK ENGINEERING (2010)
Prediction of slope stability using artificial neural network (case study: Noabad, Mazandaran, Iran)
A. J. Choobbasti et al.
ARABIAN JOURNAL OF GEOSCIENCES (2009)
High Energy Physics event selection with Gene Expression Programming
Liliana Teodorescu et al.
COMPUTER PHYSICS COMMUNICATIONS (2008)
A colony optimization for continuous domains
Krzysztof Socha et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2008)
Prediction of Elastic Modulus of Jointed Rock Mass Using Artificial Neural Networks
Vidya Bhushan et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2008)
A neural network approach to estimating deflection of diaphragm walls caused by excavation in clays
Gordon T. C. Kung et al.
COMPUTERS AND GEOTECHNICS (2007)
Estimation of rock modulus: For intact rocks with an artificial neural network and for rock masses with a new empirical equation
H Sonmez et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2006)
Estimating wall deflections in deep excavations using Bayesian neural networks
CG Chua et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2005)
Predicting the deformation moduli of rock masses
C Gokceoglu et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2003)
Constitutive law for the shear strength of rock joints based on three-dimensional surface parameters
G Grasselli et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2003)
Share Paper
