Developing a new intelligent technique to predict overbreak in tunnels using an artificial bee colony-based ANN

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

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

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

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

(2016) Asmadi Ahmad et al.   WATER RESOURCES MANAGEMENT

Application of two intelligent systems in predicting environmental impacts of quarry blasting

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

Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm

(2015) Ebrahim Ebrahimi et al.   Bulletin of Engineering Geology and the Environment

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

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

(2015) Amir Saghatforoush 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

Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach

(2015) Mohsen Hajihassani et al.   Environmental Earth Sciences

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

(2015) Ehsan Momeni et al.   MEASUREMENT

Flyrock in bench blasting: a comprehensive review

(2014) A. K. Raina et al.   Bulletin of Engineering Geology and the Environment

A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network

(2014) Aminaton Marto et al.   TheScientificWorldJOURNAL

Calculation of surface settlements caused by EPBM tunneling using artificial neural network, SVM, and Gaussian processes

(2013) Ibrahim Ocak et al.   Environmental Earth Sciences

Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network

(2013) Hyongdoo Jang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Multiple regression, ANN and ANFIS models for prediction of backbreak in the open pit blasting

(2012) Mohammad Esmaeili et al.   ENGINEERING WITH COMPUTERS

Backbreak prediction in the Chadormalu iron mine using artificial neural network

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

Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling

(2011) Rasoul Irani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An artificial bee colony approach for clustering

(2009) Changsheng Zhang 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

Evaluating extent and causes of overbreak in tunnels

(2008) S.K. Mandal et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY