A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock

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

Random Forest and Bayesian Network Techniques for Probabilistic Prediction of Flyrock Induced by Blasting in Quarry Sites

(2020) Han Han et al.   Natural Resources Research

Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling and Restoration Aspects

(2019) Panagiotis G. Asteris et al.   Applied Sciences-Basel

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

(2019) Hoang Nguyen et al.   Natural Resources Research

A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques

(2019) Xiufeng Liao et al.   ENGINEERING WITH COMPUTERS

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

(2019) Hoang Nguyen et al.   Acta Geophysica

A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine

(2019) Hoang Nguyen et al.   Acta Geophysica

The effects of ABC, ICA, and PSO optimization techniques on prediction of ripping production

(2019) Edy Tonnizam Mohamad et al.   ENGINEERING WITH COMPUTERS

Computational estimation of lateral pile displacement in layered sand using experimental data

(2019) Mahdy Khari et al.   MEASUREMENT

Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models

(2019) Hui Chen et al.   Applied Sciences-Basel

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

(2019) Payam Sarir et al.   ENGINEERING WITH COMPUTERS

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

(2019) Hongquan Guo et al.   ENGINEERING WITH COMPUTERS

Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories

(2019) Jian Zhou et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

A new hybrid method for predicting ripping production in different weathering zones through in-situ tests

(2019) Edy Tonnizam Mohamad et al.   MEASUREMENT

A new approach for estimation of rock brittleness based on non-destructive tests

(2019) Mohammadreza Koopialipoor et al.   Nondestructive Testing and Evaluation

Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO

(2019) Haiqing Yang et al.   Natural Resources Research

Use of Intelligent Methods to Design Effective Pattern Parameters of Mine Blasting to Minimize Flyrock Distance

(2019) Jian Zhou et al.   Natural Resources Research

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

(2019) Dieu Tien Bui et al.   CATENA

A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets

(2019) Hooman Harandizadeh et al.   ENGINEERING WITH COMPUTERS

Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate

(2019) Hai Xu et al.   Applied Sciences-Basel

ORELM: A Novel Machine Learning Approach for Prediction of Flyrock in Mine Blasting

(2019) Xiang Lu et al.   Natural Resources Research

Toward a State-of-the-Art of Fly-Rock Prediction Technology in Open-Pit Mines Using EANNs Model

(2019) Hoang Nguyen et al.   Applied Sciences-Basel

A Gene Expression Programming Model for Predicting Tunnel Convergence

(2019) Mohsen Hajihassani et al.   Applied Sciences-Basel

Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques

(2019) Jian Zhou et al.   Bulletin of Engineering Geology and the Environment

Concrete compressive strength using artificial neural networks

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms

(2019) Hoang Nguyen et al.   SENSORS

Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength

(2019) Lei Huang et al.   Applied Sciences-Basel

Evaluation and Optimization of Prediction of Toe that Arises from Mine Blasting Operation Using Various Soft Computing Techniques

(2019) Farhang Sadeghi et al.   Natural Resources Research

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

(2018) Hoang Nguyen et al.   NEURAL COMPUTING & APPLICATIONS

Evaluation method of rockburst: State-of-the-art literature review

(2018) Jian Zhou et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

(2018) Hoang Nguyen et al.   Natural Resources Research

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

(2017) Hima Nikafshan Rad et al.   ENGINEERING WITH COMPUTERS

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

Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel

(2017) Jian Zhou et al.   International Journal of Geomechanics

Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique

(2016) Roohollah Shirani Faradonbeh et al.   Bulletin of Engineering Geology and the Environment

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

(2016) Khalil Taheri et al.   ENGINEERING WITH COMPUTERS

Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting

(2016) Nazanin Fouladgar et al.   ENGINEERING WITH COMPUTERS

Estimation of air-overpressure produced by blasting operation through a neuro-genetic technique

(2016) Edy Tonnizam Mohamad et al.   Environmental Earth Sciences

Development of a precise model for prediction of blast-induced flyrock using regression tree technique

(2016) Mahdi Hasanipanah et al.   Environmental Earth Sciences

A new model based on gene expression programming to estimate air flow in a single rock joint

(2016) Manoj Khandelwal et al.   Environmental Earth Sciences

Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction

(2016) R Shirani Faradonbeh et al.   International Journal of Environmental Science and Technology

Genetic programming and gene expression programming for flyrock assessment due to mine blasting

(2016) Roohollah Shirani Faradonbeh et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

A Kriging-based constrained global optimization algorithm for expensive black-box functions with infeasible initial points

(2016) Yaohui Li et al.   JOURNAL OF GLOBAL OPTIMIZATION

Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining

(2016) Jian Zhou et al.   JOURNAL OF VIBRATION AND CONTROL

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

Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting

(2016) Danial Jahed Armaghani et al.   ROCK MECHANICS AND ROCK ENGINEERING

Deterministic approaches for solving practical black-box global optimization problems

(2015) Dmitri E. Kvasov et al.   ADVANCES IN ENGINEERING SOFTWARE

Application of two intelligent systems in predicting environmental impacts of quarry blasting

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

(2015) Amir Saghatforoush et al.   ENGINEERING WITH COMPUTERS

Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods

(2015) D. Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

(2015) Anton Akusok et al.   IEEE Access

Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization

(2014) M. Hajihassani et al.   APPLIED ACOUSTICS

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

Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network

(2014) Danial Jahed Armaghani et al.   MEASUREMENT

A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network

(2014) Aminaton Marto et al.   TheScientificWorldJOURNAL

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

Application of artificial intelligence techniques for predicting the flyrock distance caused by blasting operation

(2012) Ebrahim Ghasemi et al.   Arabian Journal of Geosciences

Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction

(2012) Xiu-zhi SHI et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Evaluation of flyrock phenomenon due to blasting operation by support vector machine

(2011) Hasel Amini et al.   NEURAL COMPUTING & APPLICATIONS

Flyrock danger zone demarcation in opencast mines: a risk based approach

(2010) A. K. Raina et al.   Bulletin of Engineering Geology and the Environment

Prediction and controlling of flyrock in blasting operation using artificial neural network

(2009) M. Monjezi et al.   Arabian Journal of Geosciences

Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks

(2009) M. Monjezi 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