A new methodology for optimization and prediction of rate of penetration during drilling operations

The use of new intelligent techniques in designing retaining walls

(2019) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance

(2019) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

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

Effects of joints on the cutting behavior of disc cutter running on the jointed rock mass

(2018) H.Q. Yang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

(2018) Mohammadreza Koopialipoor et al.   Bulletin of Engineering Geology and the Environment

Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques

(2018) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

Overbreak prediction and optimization in tunnel using neural network and bee colony techniques

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Effects of Jointed Rock Mass and Mixed Ground Conditions on the Cutting Efficiency and Cutter Wear of Tunnel Boring Machine

(2018) Yanru Zhao et al.   ROCK MECHANICS AND ROCK ENGINEERING

Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

(2017) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique

(2017) I. Mansouri et al.   JOURNAL OF INTELLIGENT MANUFACTURING

An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand

(2017) Hossein Moayedi et al.   NEURAL COMPUTING & APPLICATIONS

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

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

(2016) Mahdi Hasanipanah 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

Airblast prediction through a hybrid genetic algorithm-ANN model

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

(2016) M. Safa et al.   STEEL AND COMPOSITE STRUCTURES

The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization

(2016) Asmadi Ahmad et al.   WATER RESOURCES MANAGEMENT

Prediction of the strength and elasticity modulus of granite through an expert artificial neural network

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

Neuro-fuzzy technique to predict air-overpressure induced by blasting

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

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

(2015) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Application of Real-Time Field Data to Optimize Drilling Hydraulics Using Neural Network Approach

(2015) Yanfang Wang et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Combined Rate of Penetration and Pressure Regulation for Drilling Optimization by Use of High-Speed Telemetry

(2015) Reza Asgharzadeh Shishavan et al.   SPE DRILLING & COMPLETION

Realtime Rate of Penetration Optimization Using the Shuffled Frog Leaping Algorithm

(2014) Ping Yi et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Prediction of shear capacity of channel shear connectors using the ANFIS model

(2014) Ali Toghroli et al.   STEEL AND COMPOSITE STRUCTURES

Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

(2013) Mohammad Mohammadhassani et al.   STRUCTURAL ENGINEERING AND MECHANICS

Robust optimization of the rate of penetration of a drill-string using a stochastic nonlinear dynamical model

(2010) T. G. Ritto et al.   COMPUTATIONAL MECHANICS

An artificial bee colony approach for clustering

(2009) Changsheng Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY