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

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

(2014) M. Hajihassani et al.   APPLIED ACOUSTICS

An RES-Based Model for Risk Assessment and Prediction of Backbreak in Bench Blasting

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

Stochastic Modeling Approach for the Evaluation of Backbreak due to Blasting Operations in Open Pit Mines

(2013) Mehmet Sari et al.   ROCK MECHANICS AND ROCK ENGINEERING

Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks

(2012) Nurcihan Ceryan et al.   Environmental Earth Sciences

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

Backbreak prediction in the Chadormalu iron mine using artificial neural network

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

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

Prediction of Backbreak in Open-Pit Blasting Operations Using the Machine Learning Method

(2012) Manoj Khandelwal et al.   ROCK MECHANICS AND ROCK ENGINEERING

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

Genetic programming approach for estimating the deformation modulus of rock mass using sensitivity analysis by neural network

(2010) Morteza Beiki et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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 backbreak in open-pit blasting using fuzzy set theory

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

Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness

(2009) Saffet Yagiz et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

A genetic programming approach to suspended sediment modelling

(2008) Ali Aytek et al.   JOURNAL OF HYDROLOGY

Prediction of compressive and tensile strength of limestone via genetic programming

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