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

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

(2016) Maryam Amiri et al.   ENGINEERING WITH COMPUTERS

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

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

(2015) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

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

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

(2015) Ehsan Momeni et al.   MEASUREMENT

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

(2014) M. Hajihassani et al.   APPLIED ACOUSTICS

Development of artificial neural networks and multiple regression models for the NATM tunnelling-induced settlement in Niayesh subway tunnel, Tehran

(2014) S. D. Mohammadi et al.   Bulletin of Engineering Geology and the Environment

Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach

(2014) Edy Tonnizam Mohamad et al.   Bulletin of Engineering Geology and the Environment

A new approach for estimating the transverse surface settlement curve for twin tunnels in shallow and soft soils

(2014) Ibrahim Ocak   Environmental Earth Sciences

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

A new equation for estimating the maximum surface settlement above tunnels excavated in soft ground

(2013) Hamid Chakeri et al.   Environmental Earth Sciences

Prediction of bearing capacity of circular footings on soft clay stabilized with granular soil

(2013) Murat Ornek et al.   SOILS AND FOUNDATIONS

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

(2012) Nurcihan Ceryan et al.   Environmental Earth Sciences

Interaction of longitudinal surface settlements for twin tunnels in shallow and soft soils: the case of Istanbul Metro

(2012) Ibrahim Ocak   Environmental Earth Sciences

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

Surface settlement predictions for Istanbul Metro tunnels excavated by EPB-TBM

(2010) S. G. Ercelebi et al.   Environmental Earth Sciences

Signature verification (SV) toolbox: Application of PSO-NN

(2009) M. Taylan Das 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

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

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

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

Discussion on the paper by H. Gullu and E. Ercelebi “A neural network approach for attenuation relationships: An application using strong ground motion data from Turkey (in press)”

(2007) H. Sonmez et al.   ENGINEERING GEOLOGY

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY