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

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting

(2018) S. Farid F. Mojtahedi 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

Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile

(2018) Hossein Moayedi et al.   International Journal of Geomechanics

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

Prediction of an environmental issue of mine blasting: an imperialistic competitive algorithm-based fuzzy system

(2017) M. Hasanipanah et al.   International Journal of Environmental Science and Technology

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

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

(2016) Khalil Taheri et al.   ENGINEERING WITH COMPUTERS

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

Development of a precise model for prediction of blast-induced flyrock using regression tree technique

(2016) Mahdi Hasanipanah et al.   Environmental Earth Sciences

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

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Airblast prediction through a hybrid genetic algorithm-ANN model

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

Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting

(2016) Danial Jahed Armaghani et al.   ROCK MECHANICS AND ROCK ENGINEERING

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

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

(2015) Samira Shams 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

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

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

(2015) Mohsen Hajihassani et al.   Environmental Earth Sciences

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

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

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

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

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