Related references
Note: Only part of the references are listed.Prediction of seismic slope stability through combination of particle swarm optimization and neural network
Behrouz Gordan et al.
ENGINEERING WITH COMPUTERS (2016)
Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation
Roohollah Shirani Faradonbeh et al.
ENGINEERING WITH COMPUTERS (2016)
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances
Danial Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2016)
Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods
D. Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2016)
Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
Ehsan Momeni et al.
MEASUREMENT (2015)
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young's modulus: a study on Main Range granite
Danial Jahed Armaghani et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach
Edy Tonnizam Mohamad et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization
M. Hajihassani et al.
APPLIED ACOUSTICS (2014)
Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
D. Jahed Armaghani et al.
ARABIAN JOURNAL OF GEOSCIENCES (2014)
Prediction of ultimate axial load-carrying capacity of piles using a support vector machine based on CPT data
A. Kordjazi et al.
COMPUTERS AND GEOTECHNICS (2014)
Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN
E. Momeni et al.
MEASUREMENT (2014)
Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system
D. A. Mishra et al.
ENGINEERING GEOLOGY (2013)
Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks
Nurcihan Ceryan et al.
ENVIRONMENTAL EARTH SCIENCES (2013)
Calculation of surface settlements caused by EPBM tunneling using artificial neural network, SVM, and Gaussian processes
Ibrahim Ocak et al.
ENVIRONMENTAL EARTH SCIENCES (2013)
Evaluation of effect of blast design parameters on flyrock using artificial neural networks
M. Monjezi et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Backbreak prediction in the Chadormalu iron mine using artificial neural network
M. Monjezi et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network
Masoud Monjezi et al.
NEURAL COMPUTING & APPLICATIONS (2013)
A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks
Rajesh Singh et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Estimation of elastic constant of rocks using an ANFIS approach
Rajesh Singh et al.
APPLIED SOFT COMPUTING (2012)
Predicting axial capacity of driven piles in cohesive soils using intelligent computing
Iyad Alkroosh et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2012)
Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks
S. Yagiz et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2012)
Intelligent systems for ground vibration measurement: a comparative study
A. K. Verma et al.
ENGINEERING WITH COMPUTERS (2011)
Prediction of hard rock TBM penetration rate using particle swarm optimization
Saffet Yagiz et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2011)
Intelligent computing for modeling axial capacity of pile foundations
Mohamed A. Shahin
CANADIAN GEOTECHNICAL JOURNAL (2010)
Application of two non-linear prediction tools to the estimation of tunnel boring machine performance
S. Yagiz et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2009)
Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks
Z. A. Bashir et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2009)
Correlating static properties of coal measures rocks with P-wave velocity
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF COAL GEOLOGY (2009)
Prediction of uniaxial compressive strength of sandstones using petrography-based models
K. Zorlu et al.
ENGINEERING GEOLOGY (2008)
Modeling pile capacity using support vector machines and generalized regression neural network
Mahesh Pal et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2008)
Prediction of surface crown pillar stability using artificial neural networks
A. S. Tawadrous et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2007)
Evaluation of blast-induced ground vibration predictors
Manoj Khandelwal et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2007)
Estimation of rock modulus: For intact rocks with an artificial neural network and for rock masses with a new empirical equation
H Sonmez et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2006)
A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock
C Gokceoglu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2004)
The particle swarm - Explosion, stability, and convergence in a multidimensional complex space
M Clerc et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
Share Paper
