Predicting tunnel boring machine performance through a new model based on the group method of data handling

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls

(2018) Ebrahim Noroozi Ghaleini et al.   ENGINEERING WITH COMPUTERS

Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions

(2018) Mohammadreza Koopialipoor et al.   SOFT COMPUTING

A Monte Carlo technique in safety assessment of slope under seismic condition

(2017) Amir Mahdiyar et al.   ENGINEERING WITH COMPUTERS

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems

(2016) Behnam Yazdani Bejarbaneh et al.   Bulletin of Engineering Geology and the Environment

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system

(2016) Mahdi Hasanipanah et al.   Environmental Earth Sciences

Modeling and multi-objective optimization of an M-cycle cross-flow indirect evaporative cooler using the GMDH type neural network

(2016) Ali Sohani et al.   INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID

Prediction of the uniaxial compressive strength of sandstone using various modeling techniques

(2016) Danial Jahed Armaghani et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

A New Model for Determining Slope Stability Based on Seismic Motion Performance

(2016) B. Gordan et al.   Soil Mechanics and Foundation Engineering

Application of non-linear regression analysis and artificial intelligence algorithms for performance prediction of hard rock TBMs

(2016) Alireza Salimi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of fuzzy inference system for prediction of rock fragmentation induced by blasting

(2015) Samira Shams et al.   Arabian Journal of Geosciences

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances

(2015) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles

(2015) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of recompression index using GMDH-type neural network based on geotechnical soil properties

(2015) Afshin Kordnaeij et al.   SOILS AND FOUNDATIONS

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

Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic

(2013) Ebrahim Ghasemi et al.   Bulletin of Engineering Geology and the Environment

GMDH based back propagation algorithm to predict abutment scour in cohesive soils

(2013) Mohammad Najafzadeh et al.   OCEAN ENGINEERING

A neuro-fuzzy approach for prediction of longitudinal wave velocity

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

Study of various models for estimation of penetration rate of hard rock TBMs

(2012) Ebrahim Farrokh et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Study of the influence of geotechnical parameters on the TBM performance in Tehran–Shomal highway project using ANN and SPSS

(2011) S. R. Torabi et al.   Arabian Journal of Geosciences

Comparative analysis of intelligent algorithms to correlate strength and petrographic properties of some schistose rocks

(2011) T. N. Singh et al.   ENGINEERING WITH COMPUTERS

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

Prediction of hard rock TBM penetration rate using particle swarm optimization

(2011) Saffet Yagiz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process

(2009) A. Jamali et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms

(2008) H. Ardalan et al.   COMPUTERS AND GEOTECHNICS

An investigation on the Su–NSPT correlation using GMDH type neural networks and genetic algorithms

(2008) F. Kalantary et al.   ENGINEERING GEOLOGY

RETRACTED: Investigating the efficiency in oil futures market based on GMDH approach

(2008) Mohsen Mehrara et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

A comparison of heuristic methods for polynomial regression model induction

(2008) G. Jekabsons et al.   Mathematical Modelling and Analysis

Energy demand prediction using GMDH networks

(2008) Dipti Srinivasan   NEUROCOMPUTING

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY

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

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY