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

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

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

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

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

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

Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation

(2015) Roohollah Shirani Faradonbeh 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

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

(2015) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Flyrock in bench blasting: a comprehensive review

(2014) A. K. Raina et al.   Bulletin of Engineering Geology and the Environment

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

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

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

(2014) Aminaton Marto et al.   TheScientificWorldJOURNAL

Development of Rock Engineering Systems-Based Models for Flyrock Risk Analysis and Prediction of Flyrock Distance in Surface Blasting

(2013) Farhad Faramarzi et al.   ROCK MECHANICS AND ROCK ENGINEERING

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

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

Development of an empirical model for predicting the effects of controllable blasting parameters on flyrock distance in surface mines

(2012) Ebrahim Ghasemi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Evaluation of effect of blast design parameters on flyrock using artificial neural networks

(2012) M. Monjezi et al.   NEURAL COMPUTING & APPLICATIONS

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

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

Evaluating the strength of intact rocks through genetic programming

(2010) Mojtaba Asadi et al.   APPLIED SOFT COMPUTING

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 rock fragmentation due to blasting using artificial neural network

(2010) A. Bahrami et al.   ENGINEERING WITH COMPUTERS

Development of a fuzzy model to predict flyrock in surface mining

(2010) M. Rezaei et al.   SAFETY SCIENCE

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

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

Application of two non-linear prediction tools to the estimation of tunnel boring machine performance

(2009) S. Yagiz et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of blast-induced ground vibration using artificial neural network

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

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

Prediction of compressive and tensile strength of limestone via genetic programming

(2007) A BAYKASOGLU et al.   EXPERT SYSTEMS WITH APPLICATIONS