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。Deep neural network and whale optimization algorithm to assess flyrock induced by blasting
Hongquan Guo et al.
ENGINEERING WITH COMPUTERS (2021)
Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples
Lei Sun et al.
ENGINEERING WITH COMPUTERS (2021)
A Novel Combination of Tree-Based Modeling and Monte Carlo Simulation for Assessing Risk Levels of Flyrock Induced by Mine Blasting
Jinbi Ye et al.
NATURAL RESOURCES RESEARCH (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)
Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques
Xiufeng Liao et al.
ENGINEERING WITH COMPUTERS (2020)
A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network
Jian Zhou et al.
ENGINEERING WITH COMPUTERS (2020)
Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance
Mohammadreza Koopialipoor et al.
ENGINEERING WITH COMPUTERS (2020)
Big data management in the mining industry
Chong-chong Qi
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS (2020)
A SVR-GWO technique to minimize flyrock distance resulting from blasting
Danial Jahed Armaghani et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020)
Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system
Jian Zhou et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020)
Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations
Dongchun Tang et al.
APPLIED SCIENCES-BASEL (2020)
Practical Risk Assessment of Ground Vibrations Resulting from Blasting, Using Gene Expression Programming and Monte Carlo Simulation Techniques
Amir Mahdiyar et al.
APPLIED SCIENCES-BASEL (2020)
A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock
Bhatawdekar Ramesh Murlidhar et al.
NATURAL RESOURCES RESEARCH (2020)
Mechanics and safety issues in tailing-based backfill: A review
Xu Zhao et al.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS (2020)
Safety of barricades in cemented paste-backfilled stopes
Xu Zhao et al.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS (2020)
A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs
Shasha Lu et al.
MATERIALS (2020)
Predicting the Permeability of Pervious Concrete Based on the Beetle Antennae Search Algorithm and Random Forest Model
Jiandong Huang et al.
ADVANCES IN CIVIL ENGINEERING (2020)
A Novel Heuristic Algorithm for the Modeling and Risk Assessment of the COVID-19 Pandemic Phenomenon
Panagiotis G. Asteris et al.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES (2020)
The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock
Mahdi Hasanipanah et al.
IEEE ACCESS (2020)
Self-compacting concrete strength prediction using surrogate models
Panagiotis G. Asteris et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Three hybrid intelligent models in estimating flyrock distance resulting from blasting
Mohammadreza Koopialipoor et al.
ENGINEERING WITH COMPUTERS (2019)
A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls
Ebrahim Noroozi Ghaleini et al.
ENGINEERING WITH COMPUTERS (2019)
Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions
Mohammadreza Koopialipoor et al.
SOFT COMPUTING (2019)
Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques
Behrouz Gordan et al.
ENGINEERING WITH COMPUTERS (2019)
Developing a new intelligent technique to predict overbreak in tunnels using an artificial bee colony-based ANN
Mohammadreza Koopialipoor et al.
ENVIRONMENTAL EARTH SCIENCES (2019)
A new hybrid method for predicting ripping production in different weathering zones through in situ tests
Edy Tonnizam Mohamad et al.
MEASUREMENT (2019)
An analytical solution for evaluating the safety of an exposed face in a paste backfill stope incorporating the arching phenomenon
Xu Zhao et al.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS (2019)
Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories
Jian Zhou et al.
SAFETY SCIENCE (2019)
Modification of rock mass rating system using soft computing techniques
Hima Nikafshan Rad et al.
ENGINEERING WITH COMPUTERS (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)
A neuro-genetic predictive model to approximate overbreak induced by drilling and blasting operation in tunnels
Mohammadreza Koopialipoor et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Application of several optimization techniques for estimating TBM advance rate in granitic rocks
Danial Jahed Armaghani et al.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2019)
Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm
Parvin Faraji Asl et al.
ENGINEERING WITH COMPUTERS (2018)
Model test on the entrainment phenomenon and energy conversion mechanism of flow-like landslides
H. Q. Yang et al.
ENGINEERING GEOLOGY (2018)
Effects of joints on the cutting behavior of disc cutter running on the jointed rock mass
H. Q. Yang et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)
Identifying and assessing the critical criteria affecting decision-making for green roof type selection
Amir Mahdiyar et al.
SUSTAINABLE CITIES AND SOCIETY (2018)
Evaluation method of rockburst: State-of-the-art literature review
Jian Zhou et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)
Development of a precise model for prediction of blast-induced flyrock using regression tree technique
Mahdi Hasanipanah et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
Danial Jahed Armaghani et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)
Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods
D. Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2016)
Prediction of self-compacting concrete strength using artificial neural networks
P. G. Asteris et al.
EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING (2016)
Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining
Jian Zhou et al.
JOURNAL OF VIBRATION AND CONTROL (2016)
Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting
Danial Jahed Armaghani et al.
ROCK MECHANICS AND ROCK ENGINEERING (2016)
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young's modulus: a study on Main Range granite
Danial Jahed Armaghani et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
Prediction of rock mass rating system based on continuous functions using Chaos–ANFIS model
Hima Nikafshan Rad et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2014)
Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
D. Jahed Armaghani et al.
ARABIAN JOURNAL OF GEOSCIENCES (2014)
Flyrock in bench blasting: a comprehensive review
A. K. Raina et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2014)
A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network
Aminaton Marto et al.
SCIENTIFIC WORLD JOURNAL (2014)
Prediction of flyrock in open pit blasting operation using machine learning method
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2013)
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 blast-induced air overpressure using support vector machine
Manoj Khandelwal et al.
ARABIAN JOURNAL OF GEOSCIENCES (2011)
Development of a fuzzy model to predict flyrock in surface mining
M. Rezaei et al.
SAFETY SCIENCE (2011)
Prediction of blast-induced ground vibration using artificial neural networks
M. Monjezi et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2011)
Qualitative Research: Application of the Delphi Method to CEM Research
Matthew R. Hallowell et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2010)
Firefly algorithm, stochastic test functions and design optimisation
Xin-She Yang
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION (2010)
Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks
Z. A. Bashir et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2009)
Prediction of blast-induced ground vibration using artificial neural network
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
Prediction of uniaxial compressive strength of sandstones using petrography-based models
K. Zorlu et al.
ENGINEERING GEOLOGY (2008)
Evaluation of effect of blasting pattern parameters on back break using neural networks
M. Monjezi et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2008)
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
Esmaeil Atashpaz-Gargari et al.
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS (2007)
Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach
M Khandelwal et al.
JOURNAL OF SOUND AND VIBRATION (2006)
分享论文
