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

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

(2015) Ehsan Momeni et al.   MEASUREMENT

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

(2014) M. Hajihassani et al.   APPLIED ACOUSTICS

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

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

Development of a fuzzy model for predicting ground vibration caused by rock blasting in surface mining

(2012) Ebrahim Ghasemi et al.   JOURNAL OF VIBRATION AND CONTROL

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

Application of multivariate analysis for prediction of blast-induced ground vibrations

(2012) Turker Hudaverdi   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Bench blasting design based on site-specific attenuation formula in a quarry

(2011) Umit Ozer et al.   Arabian Journal of Geosciences

Artificial neural networks as a basis for new generation of rock failure criteria

(2011) Hosein Rafiai et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Performance of fuzzy logic and artificial neural network in prediction of ground and air vibrations

(2011) Mostafa Tantawy Mohamed   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of near field overpressure from quarry blasting

(2010) P. Segarra et al.   APPLIED ACOUSTICS

Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach

(2010) M. Monjezi et al.   Arabian Journal of Geosciences

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 the air wave due to blasting inside tunnels: Approximation to a ‘phonometric curve’

(2010) Rafael Rodríguez et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction of blast-induced ground vibration using artificial neural networks

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

Prediction of blast-induced air overpressure using support vector machine

(2009) Manoj Khandelwal et al.   Arabian Journal of Geosciences

Prediction of blast-induced ground vibration using artificial neural network

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Operational and geological parameters in the assessing blast induced airblast-overpressure in quarries

(2008) C. Kuzu et al.   APPLIED ACOUSTICS

Evaluation of effect of blasting pattern parameters on back break using neural networks

(2008) M. Monjezi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

The importance of site-specific characters in prediction models for blast-induced ground vibrations

(2007) Cengiz Kuzu   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING