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

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

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models

(2019) Hossein Moayedi 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 new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

(2019) Hoang Nguyen et al.   APPLIED SOFT COMPUTING

Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm

(2018) Katayoun Behzadafshar et al.   ENGINEERING COMPUTATIONS

Proposing of a new soft computing-based model to predict peak particle velocity induced by blasting

(2018) Taha Mokfi et al.   ENGINEERING WITH COMPUTERS

Empirical and probabilistic analysis of blast-induced ground vibrations

(2018) Sunny Murmu et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Particle Swarm Optimization Algorithm for Neuro-Fuzzy Prospectivity Analysis Using Continuously Weighted Spatial Exploration Data

(2018) Bijan Roshanravan et al.   Natural Resources Research

Partial multi-dividing ontology learning algorithm

(2018) Wei Gao et al.   INFORMATION SCIENCES

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

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

Forecasting ground vibration due to rock blasting: a hybrid intelligent approach using support vector regression and fuzzy C-means clustering

(2017) Hasan Sheykhi et al.   ENGINEERING WITH COMPUTERS

Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms

(2017) Roohollah Shirani Faradonbeh et al.   ENGINEERING WITH COMPUTERS

A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model

(2017) Azam Shahnazar et al.   Environmental Earth Sciences

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

Optimization of a nonlinear model for predicting the ground vibration using the combinational particle swarm optimization-genetic algorithm

(2017) Hossein Samareh et al.   JOURNAL OF AFRICAN EARTH SCIENCES

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

Nano properties analysis via fourth multiplicative ABC indicator calculating

(2017) Wei Gao et al.   Arabian Journal of Chemistry

Study of biological networks using graph theory

(2017) Wei Gao et al.   SAUDI JOURNAL OF BIOLOGICAL SCIENCES

Natural Resources Research Publications on Geochemical Anomaly and Mineral Potential Mapping, and Introduction to the Special Issue of Papers in These Fields

(2017) Emmanuel John M. Carranza   Natural Resources Research

Mineral Systems Analysis and Artificial Neural Network Modeling of Chromite Prospectivity in the Western Limb of the Bushveld Complex, South Africa

(2017) Abera Tessema   Natural Resources Research

A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting

(2016) Ebrahim Ghasemi et al.   ENGINEERING WITH COMPUTERS

Prediction of blast-produced ground vibration using particle swarm optimization

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

(2016) Maryam Amiri et al.   ENGINEERING WITH COMPUTERS

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

Feasibility of ICA in approximating ground vibration resulting from mine blasting

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of the strength and elasticity modulus of granite through an expert artificial neural network

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

Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach

(2015) Mohsen Hajihassani et al.   Environmental Earth Sciences

Effect of bedding plane on prediction blast-induced ground vibration in open pit coal mines

(2015) Ganda Marihot Simangunsong et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

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

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

Comparison of Volterra Model and Artificial Neural Networks for Rainfall–Runoff Simulation

(2014) Mahsa Hasanpour Kashani et al.   Natural Resources Research

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

Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine

(2011) M Mohammadnejad et al.   JOURNAL OF VIBRATION AND CONTROL

Prediction of environmental impacts of quarry blasting operation using fuzzy logic

(2010) Abdullah Fişne et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Predicting blast-induced ground vibration using various types of neural networks

(2010) M. Monjezi et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Prediction of blast-induced ground vibration using artificial neural networks

(2010) M. Monjezi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of Artificial Neural Network for Gold–Silver Deposits Potential Mapping: A Case Study of Korea

(2010) Hyun-Joo Oh et al.   Natural Resources Research

The effect of discontinuity frequency on ground vibrations produced from bench blasting: A case study

(2008) Hakan Ak et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING