Prediction of Blast-Induced Rock Movement During Bench Blasting: Use of Gray Wolf Optimizer and Support Vector Regression

DeepNEU: cellular reprogramming comes of age – a machine learning platform with application to rare diseases research

(2019) Wayne R. Danter   Orphanet Journal of Rare Diseases

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

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques

(2019) Xuan-Nam Bui 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

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

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Comparative Motor Pre-clinical Assessment in Parkinson’s Disease Using Supervised Machine Learning Approaches

(2018) Erika Rovini et al.   ANNALS OF BIOMEDICAL ENGINEERING

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

(2018) Chao Zhou et al.   COMPUTERS & GEOSCIENCES

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture1

(2018) Gota Morota et al.   JOURNAL OF ANIMAL SCIENCE

Prediction of sulfur solubility in supercritical sour gases using grey wolf optimizer-based support vector machine

(2018) Xiao-Qiang Bian et al.   JOURNAL OF MOLECULAR LIQUIDS

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

Kinetic characteristics of debris flows as exemplified by field investigations and discrete element simulation of the catastrophic Jiweishan rockslide, China

(2017) Zongxing Zou et al.   GEOMORPHOLOGY

Multi-Resolution Feature Fusion model for coal rock burst hazard recognition based on Acoustic Emission data

(2017) Jing Li et al.   MEASUREMENT

Machine Learning of Mineralization-Related Geochemical Anomalies: A Review of Potential Methods

(2017) Renguang Zuo   Natural Resources Research

Combination of minimum enclosing balls classifier with SVM in coal-rock recognition

(2017) QingJun Song et al.   PLoS One

Developing a new hybrid-AI model to predict blast-induced backbreak

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction of blast-induced flyrock using differential evolution algorithm

(2016) Hesam Dehghani et al.   ENGINEERING WITH COMPUTERS

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Classification and regression tree technique in estimating peak particle velocity caused by blasting

(2016) Manoj Khandelwal et al.   ENGINEERING WITH COMPUTERS

Airblast prediction through a hybrid genetic algorithm-ANN model

(2016) Danial Jahed Armaghani 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

Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm

(2015) Ebrahim Ebrahimi et al.   Bulletin of Engineering Geology and the Environment

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

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

Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach

(2014) Edy Tonnizam Mohamad et al.   Bulletin of Engineering Geology and the Environment

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

(2014) Aminaton Marto et al.   TheScientificWorldJOURNAL

Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

(2013) Michael P. Menden et al.   PLoS One

Predicting pillar stability for underground mine using Fisher discriminant analysis and SVM methods

(2012) Jian ZHOU et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

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

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

(2011) Jian Zhou et al.   SAFETY SCIENCE

Support Vector Machines Approach to HMA Stiffness Prediction

(2010) Kasthurirangan Gopalakrishnan et al.   JOURNAL OF ENGINEERING MECHANICS

OCR Prediction Using Support Vector Machine Based on Piezocone Data

(2008) Pijush Samui et al.   JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY