相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Prediction of the durability of limestone aggregates using computational techniques
Seyed Vahid Alavi Nezhad Khalil Abad 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)
An optimized ANN model based on genetic algorithm for predicting ripping production
Edy Tonnizam Mohamad et al.
NEURAL COMPUTING & APPLICATIONS (2017)
Prediction of the strength and elasticity modulus of granite through an expert artificial neural network
Danial Jahed Armaghani et al.
ARABIAN JOURNAL OF GEOSCIENCES (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)
Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques
M. Monjezi et al.
ENGINEERING WITH COMPUTERS (2016)
Rock strength assessment based on regression tree technique
Maybelle Liang et al.
ENGINEERING WITH COMPUTERS (2016)
Estimation of ground vibration produced by blasting operations through intelligent and empirical models
S. Ghoraba et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Bearing capacity of thin-walled shallow foundations: an experimental and artificial intelligence-based study
Hossein Rezaei et al.
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A (2016)
Prediction of Drillability of Rocks with Strength Properties Using a Hybrid GA-ANN Technique
Manoj Khandelwal et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2016)
Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles
Ehsan Momeni et al.
Earth Sciences Research Journal (2015)
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)
An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining
Mohammad Rezaei et al.
NEURAL COMPUTING & APPLICATIONS (2014)
An optimised product-unit neural network with a novel PSO-BP hybrid training algorithm: Applications to load-deformation analysis of axially loaded piles
A. Ismail et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2013)
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)
A neuro-fuzzy approach for prediction of longitudinal wave velocity
A. K. Verma et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Correlating P-wave Velocity with the Physico-Mechanical Properties of Different Rocks
Manoj Khandelwal
PURE AND APPLIED GEOPHYSICS (2013)
Comparative analysis of intelligent algorithms to correlate strength and petrographic properties of some schistose rocks
T. N. Singh et al.
ENGINEERING WITH COMPUTERS (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)
Use of the block punch test to predict the compressive and tensile strengths of rocks
D. A. Mishra et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2012)
Correlation between slake durability and rock properties for some carbonate rocks
Saffet Yagiz
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2011)
Artificial neural networks as a basis for new generation of rock failure criteria
Hosein Rafiai et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2011)
Signature verification (SV) toolbox: Application of PSO-NN
M. Taylan Das et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2009)
Correlating static properties of coal measures rocks with P-wave velocity
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF COAL GEOLOGY (2009)
An Example of Artificial Neural Network (ANN) Application for Indirect Estimation of Rock Parameters
I. Yilmaz et al.
ROCK MECHANICS AND ROCK ENGINEERING (2008)
The effect of porosity on the relation between uniaxial compressive strength and point load index
S. Kahraman et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2005)
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)
Hybrid PSO-SQP for economic dispatch with valve-point effect
TAA Victoire et al.
ELECTRIC POWER SYSTEMS RESEARCH (2004)
Models to predict the uniaxial compressive strength and the modulus of elasticity for Ankara Agglomerate
H Sonmez et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2004)
Evaluation of the block punch index test with particular reference to the size effect, failure mechanism and its effectiveness in predicting rock strength
S Sulukcu et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2001)
Prediction of strength properties of some schistose rocks from petrographic properties using artificial neural networks
VK Singh et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2001)
Artificial neural networks: fundamentals, computing, design, and application
IA Basheer et al.
JOURNAL OF MICROBIOLOGICAL METHODS (2000)