Related references
Note: Only part of the references are listed.A neuro-genetic predictive model to approximate overbreak induced by drilling and blasting operation in tunnels
Mohammadreza Koopialipoor et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Airblast prediction through a hybrid genetic algorithm-ANN model
Danial Jahed Armaghani et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming
Danial Jahed Armaghani et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Developing a hybrid PSO-ANN model for estimating the ultimate bearing capacity of rock-socketed piles
Danial Jahed Armaghani et al.
NEURAL COMPUTING & APPLICATIONS (2017)
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
Danial Jahed Armaghani et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)
A research of consistencies and progresses of geoid models in Turkey
Nazan Yilmaz et al.
ARABIAN JOURNAL OF GEOSCIENCES (2016)
Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
Amir Saghatforoush et al.
ENGINEERING WITH COMPUTERS (2016)
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
Danial Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2016)
A hybrid imperialist competitive-simulated annealing algorithm for a multisource multi-product location-routing-inventory problem
Atiye Ghorbani et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2016)
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2016)
Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
Danial Jahed Armaghani et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2016)
Well placement optimization using imperialist competitive algorithm
Mohammad A. Al Dossary et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2016)
Neuro-fuzzy technique to predict air-overpressure induced by blasting
Danial Jahed Armaghani et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles
Ehsan Momeni et al.
Earth Sciences Research Journal (2015)
Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
Danial Jahed Armaghani et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2015)
Determination of Reliable Stress and Strain Distributions Along Bored Piles
H. Moayedi et al.
SOIL MECHANICS AND FOUNDATION ENGINEERING (2015)
The uplift load capacity of an enlarged base pier embedded in dry sand
Ramli Nazir et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm
Mohsen Hajihassani et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN
E. Momeni et al.
MEASUREMENT (2014)
A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network
Aminaton Marto et al.
SCIENTIFIC WORLD JOURNAL (2014)
Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
Mohammad Ali Ahmadi et al.
APPLIED SOFT COMPUTING (2013)
A neuro-fuzzy approach for prediction of longitudinal wave velocity
A. K. Verma et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Bearing Capacity of Driven Piles Supported on Slightly Compressible Soils
A. M. Dzagov et al.
SOIL MECHANICS AND FOUNDATION ENGINEERING (2013)
Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach
M. Monjezi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2012)
Determination of ultimate capacity of driven piles in cohesionless soil: A Multivariate Adaptive Regression Spline approach
Pijush Samui
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2012)
Prediction of bearing capacity of circular footings on soft clay stabilized with granular soil
Murat Ornek et al.
SOILS AND FOUNDATIONS (2012)
Intelligent systems for ground vibration measurement: a comparative study
A. K. Verma et al.
ENGINEERING WITH COMPUTERS (2011)
Applicability of the SPT-based Methods for Estimating Toe Bearing Capacity of Driven PHC Piles in the Thick Deltaic Deposits
N. T. Dung et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2011)
Prediction of uniaxial compressive strength of sandstones using petrography-based models
K. Zorlu et al.
ENGINEERING GEOLOGY (2008)
Behaviour of jacked and driven piles in sandy soil
J. Yang et al.
GEOTECHNIQUE (2006)
Undrained lateral load capacity of piles in clay using artificial neural network
Sarat Kumar Das et al.
COMPUTERS AND GEOTECHNICS (2006)
Slake durability study of shaly rock and its predictions
TN Singh et al.
ENVIRONMENTAL GEOLOGY (2005)
Efficiency of pile groups installed in cohesionless soil using artificial neural networks
AM Hanna et al.
CANADIAN GEOTECHNICAL JOURNAL (2004)
Share Paper
