An optimized ANN model based on genetic algorithm for predicting ripping production

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

(2016) Ebrahim Ghasemi 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

Particle swarm optimization approach for forecasting backbreak induced by bench blasting

(2016) Ebrahim Ghasemi   NEURAL COMPUTING & APPLICATIONS

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan 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

Improving the Performance of Intelligent Back Analysis for Tunneling Using Optimized Fuzzy Systems: Case Study of the Karaj Subway Line 2 in Iran

(2015) Hossein Khamesi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Prediction of abrasiveness index of some Indian rocks using soft computing methods

(2015) Ashutosh Tripathy 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

Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN

(2014) E. Momeni et al.   MEASUREMENT

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

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

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

Neural networks based predictive control for thermal comfort and energy savings in public buildings

(2012) P.M. Ferreira et al.   ENERGY AND BUILDINGS

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

Backbreak prediction in the Chadormalu iron mine using artificial neural network

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

A neuro-fuzzy approach for prediction of longitudinal wave velocity

(2012) A. K. Verma et al.   NEURAL COMPUTING & APPLICATIONS

A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

(2012) Rajesh Singh et al.   NEURAL COMPUTING & APPLICATIONS

Estimation of elastic constant of rocks using an ANFIS approach

(2011) Rajesh Singh et al.   APPLIED SOFT COMPUTING

Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

(2011) S. Yagiz et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Intelligent systems for ground vibration measurement: a comparative study

(2010) A. K. Verma et al.   ENGINEERING WITH COMPUTERS

Excavatability assessment of rock masses using the Geological Strength Index (GSI)

(2009) G. Tsiambaos et al.   Bulletin of Engineering Geology and the Environment

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

Correlating static properties of coal measures rocks with P-wave velocity

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Prediction of uniaxial compressive strength of sandstones using petrography-based models

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY