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 uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
Ehsan Momeni et al.
MEASUREMENT (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)
Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network
Danial Jahed Armaghani et al.
MEASUREMENT (2014)
Artificial Neural Network as a Tool for Backbreak Prediction
M. Monjezi et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2014)
Investigation of blast-induced ground vibrations in the Tulu boron open pit mine
Kazim Gorgulu et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (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)
Prediction of Backbreak in Open-Pit Blasting Operations Using the Machine Learning Method
Manoj Khandelwal et al.
ROCK MECHANICS AND ROCK ENGINEERING (2013)
comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak
A. Sayadi et al.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL 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)
Modeling discharge-sediment relationship using neural networks with artificial bee colony algorithm
Ozgur Kisi et al.
JOURNAL OF HYDROLOGY (2012)
New approaches to determine the ultimate bearing capacity of shallow foundations based on artificial neural networks and ant colony optimization
Adem Kalinli et al.
ENGINEERING GEOLOGY (2011)
Prediction of rock fragmentation due to blasting using artificial neural network
A. Bahrami et al.
ENGINEERING WITH COMPUTERS (2011)
Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network
U. Atici
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Prediction of backbreak in open-pit blasting using fuzzy set theory
M. Monjezi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks
M. Monjezi et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)
Integration of artificial neural network and MADA methods for green supplier selection
R. J. Kuo et al.
JOURNAL OF CLEANER PRODUCTION (2010)
Prediction of rock fragmentation due to blastingin Gol-E-Gohar iron mine using fuzzy logic
M. Monjezi et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
Machinability of glass by abrasive waterjet
H. T. Zhu et al.
INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY (2008)
Numerical investigation of blasting-induced crack initiation and propagation in rocks
Zheming Zhu et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2007)
Influence of explosive energy on the strength of the rock fragments and SAG mill throughput
S Michaux et al.
MINERALS ENGINEERING (2005)
Predicting settlement of shallow foundations using neural networks
MA Shahin et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2002)
Neural methods for antenna array signal processing: A review
KL Du et al.
SIGNAL PROCESSING (2002)