A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young’s modulus and unconfined compressive strength of rock

Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak

(2020) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm

(2020) Xiaohua Ding et al.   ENGINEERING WITH COMPUTERS

Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS

(2020) Hongjun Jing et al.   ENGINEERING WITH COMPUTERS

Big data management in the mining industry

(2020) Chong-chong Qi   International Journal of Minerals Metallurgy and Materials

Developing Hybrid Machine Learning Models for Estimating the Unconfined Compressive Strength of Jet Grouting Composite: A Comparative Study

(2020) Yuantian Sun et al.   Applied Sciences-Basel

A Fuzzy Rule-Based Approach to Address Uncertainty in Risk Assessment and Prediction of Blast-Induced Flyrock in a Quarry

(2020) Mahdi Hasanipanah et al.   Natural Resources Research

Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill

(2020) Enming Li et al.   ENGINEERING WITH COMPUTERS

Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms

(2020) Juncheng Gao et al.   ENGINEERING WITH COMPUTERS

Prediction of rapid chloride permeability of self-compacting concrete using Multivariate Adaptive Regression Spline and Minimax Probability Machine Regression

(2020) Shashikant Kumar et al.   Journal of Building Engineering

An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting

(2020) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength

(2020) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Development of ensemble learning models to evaluate the strength of coal-grout materials

(2020) Yuantian Sun et al.   International Journal of Mining Science and Technology

Compressive strength prediction of high-performance concrete using gradient tree boosting machine

(2020) Mosbeh R. Kaloop et al.   CONSTRUCTION AND BUILDING MATERIALS

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

(2020) Jian Zhou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

(2020) Chengyu Xie et al.   Geoscience Frontiers

Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

(2020) Jian Zhou et al.   Geoscience Frontiers

Optimized neural network using beetle antennae search for predicting the unconfined compressive strength of jet grouting coalcretes

(2019) Yuantian Sun et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Determination of Young's modulus of jet grouted coalcretes using an intelligent model

(2019) Yuantian Sun et al.   ENGINEERING GEOLOGY

Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression

(2019) Junbo Sun et al.   CONSTRUCTION AND BUILDING MATERIALS

Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles

(2019) Zhenyan Luo et al.   ENGINEERING WITH COMPUTERS

Applying several machine learning approaches for prediction of unconfined compressive strength of stabilized pond ashes

(2019) Manju Suthar   NEURAL COMPUTING & APPLICATIONS

A novel approach based on soft computing techniques for unconfined compression strength prediction of soil cement mixtures

(2019) Joaquim Tinoco et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of Vibration Velocity Generated in Mine Blasting Using Support Vector Regression Improved by Optimization Algorithms

(2019) Haiqing Yang et al.   Natural Resources Research

State-of-the-art review of soft computing applications in underground excavations

(2019) Wengang Zhang et al.   Geoscience Frontiers

Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill

(2018) Chongchong Qi et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of open stope hangingwall stability using random forests

(2018) Chongchong Qi et al.   NATURAL HAZARDS

Strength retrieval of artificially cemented bauxite residue using machine learning: an alternative design approach based on response surface methodology

(2018) Sujeet Kumar et al.   NEURAL COMPUTING & APPLICATIONS

A novel nonlinear modeling for the prediction of blast-induced airblast using a modified conjugate FR method

(2018) Behrooz Keshtegar et al.   MEASUREMENT

Developing a least squares support vector machine for estimating the blast-induced flyrock

(2017) Hima Nikafshan Rad 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

Predicting groutability of granular soils using adaptive neuro-fuzzy inference system

(2017) Erhan Tekin et al.   NEURAL COMPUTING & APPLICATIONS

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction of the uniaxial compressive strength of sandstone using various modeling techniques

(2016) Danial Jahed Armaghani et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods

(2016) Jian Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Multivariate adaptive regression splines and neural network models for prediction of pile drivability

(2016) Wengang Zhang et al.   Geoscience Frontiers

Estimation of strength characteristics of different Himalayan rocks from Schmidt hammer rebound, point load index, and compressional wave velocity

(2014) Ruchika Sharma Tandon et al.   Bulletin of Engineering Geology and the Environment

An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite

(2014) Danial Jahed Armaghani et al.   Bulletin of Engineering Geology and the Environment

A comparative study of Schmidt hammer test methods for estimating the uniaxial compressive strength of rocks

(2014) Kadir Karaman et al.   Bulletin of Engineering Geology and the Environment

The determination of uniaxial compressive strength from point load strength for pyroclastic rocks

(2014) S. Kahraman   ENGINEERING GEOLOGY

Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system

(2013) D.A. Mishra et al.   ENGINEERING GEOLOGY

Application of genetic programming to predict the uniaxial compressive strength and elastic modulus of carbonate rocks

(2013) Morteza Beiki et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of uniaxial compressive strength of granitic rocks by various nonlinear tools and comparison of their performances

(2013) N. Yesiloglu-Gultekin et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining

(2012) Mohammad Rezaei et al.   NEURAL COMPUTING & APPLICATIONS

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

A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

(2012) Rajesh Singh et al.   NEURAL COMPUTING & APPLICATIONS

Estimation of elastic constant of rocks using an ANFIS approach

(2011) Rajesh Singh et al.   APPLIED SOFT COMPUTING

Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

(2011) S. Yagiz et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines

(2011) Jian Zhou et al.   SAFETY SCIENCE

Utilization of a least square support vector machine (LSSVM) for slope stability analysis

(2011) P. Samui et al.   Scientia Iranica

Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network

(2010) Abdulkadir Cevik et al.   APPLIED SOFT COMPUTING

Correlation between slake durability and rock properties for some carbonate rocks

(2010) Saffet Yagiz   Bulletin of Engineering Geology and the Environment

Predicting slake durability index of soft sandstone using indirect tests

(2010) Z.A. Moradian et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Firefly algorithm, stochastic test functions and design optimisation

(2010) Xin She Yang   International Journal of Bio-Inspired Computation

Estimation of uniaxial compressive strength from point load strength, Schmidt hardness and P-wave velocity

(2008) İbrahim Çobanoğlu et al.   Bulletin of Engineering Geology and the Environment

Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models

(2008) Işık Yilmaz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of uniaxial compressive strength of sandstones using petrography-based models

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY