Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system

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

(2018) Katayoun Behzadafshar et al.   ENGINEERING COMPUTATIONS

Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting

(2018) S. Farid F. Mojtahedi et al.   ENGINEERING WITH COMPUTERS

Forecasting the stress concentration coefficient around the mined panel using soft computing methodology

(2018) Mohammad Rezaei   ENGINEERING WITH COMPUTERS

Development of GP and GEP models to estimate an environmental issue induced by blasting operation

(2018) Roohollah Shirani Faradonbeh et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

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

(2018) Behrooz Keshtegar et al.   MEASUREMENT

Developing GPR model for forecasting the rock fragmentation in surface mines

(2017) Wei Gao et al.   ENGINEERING WITH COMPUTERS

Estimation of blast-induced ground vibration through a soft computing framework

(2017) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

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

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

Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques

(2016) M. Monjezi et al.   ENGINEERING WITH COMPUTERS

Prediction of blast-produced ground vibration using particle swarm optimization

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

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

(2016) Khalil Taheri et al.   ENGINEERING WITH COMPUTERS

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah 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

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

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

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

Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system

(2016) Mahdi Hasanipanah 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

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

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 ICA in approximating ground vibration resulting from mine blasting

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

Development of an intelligent model to estimate the height of caving–fracturing zone over the longwall gobs

(2016) Mohammad Rezaei   NEURAL COMPUTING & APPLICATIONS

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

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

Several non-linear models in estimating air-overpressure resulting from mine blasting

(2015) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

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

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

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

Comparison of artificial neural network and multiple linear regression models to predict optimum bonding strength of heat treated woods

(2014) Sebahattin Tiryaki et al.   INTERNATIONAL JOURNAL OF ADHESION AND ADHESIVES

Prediction of shear capacity of channel shear connectors using the ANFIS model

(2014) Ali Toghroli et al.   STEEL AND COMPOSITE STRUCTURES

Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

(2013) Mohammad Mohammadhassani et al.   STRUCTURAL ENGINEERING AND MECHANICS

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

Developing a new fuzzy model to predict burden from rock geomechanical properties

(2011) M. Monjezi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparison of intelligence science techniques and empirical methods for prediction of blasting vibrations

(2011) M. Mohamadnejad et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Development of a fuzzy model to predict flyrock in surface mining

(2010) M. Rezaei et al.   SAFETY SCIENCE

Prediction of backbreak in open-pit blasting using fuzzy set theory

(2009) M. Monjezi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of rock fragmentation due to blasting in Gol-E-Gohar iron mine using fuzzy logic

(2009) M. Monjezi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Adaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to Izmir, Turkey

(2008) Mehmet Ali Yurdusev et al.   JOURNAL OF HYDROLOGY

Comparison of ice-affected streamflow estimates computed using artificial neural networks and multiple regression techniques

(2007) Karem Chokmani et al.   JOURNAL OF HYDROLOGY