The effect of fracture patterns on penetration rate of TBM in fractured rock mass using probabilistic numerical approach

Assessing prediction models of advance rate in tunnel boring machines—a case study in Iran

(2011) Kazem Oraee et al.   Arabian Journal of Geosciences

Influence of rock mass properties on tunnel inflow using hydromechanical numerical study

(2011) Mostafa Sharifzadeh et al.   Arabian Journal of Geosciences

A new hard rock TBM performance prediction model for project planning

(2011) J. Hassanpour et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction of slope stability using artificial neural network (case study: Noabad, Mazandaran, Iran)

(2009) A. J. Choobbasti et al.   Arabian Journal of Geosciences

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

Evaluating the strength and deformability properties of Misis fault breccia using artificial neural networks

(2008) S. Kahraman 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

Development of a rock mass characteristics model for TBM penetration rate prediction

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

Modeling and prediction of ventilation methane emissions of U.S. longwall mines using supervised artificial neural networks

(2007) C. Özgen Karacan   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Utilizing rock mass properties for predicting TBM performance in hard rock condition

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY