Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction-Reference-Cited by-同舟云学术

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Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction

Published:2012-02 Issue:2 Volume:22 Page:432-441
ISSN:1003-6326
Container-title:Transactions of Nonferrous Metals Society of China
language:en
Short-container-title:Transactions of Nonferrous Metals Society of China

Author:

SHI Xiu-zhi,ZHOU Jian,WU Bang-biao,HUANG Dan,WEI Wei

Publisher

Elsevier BV

Subject

Materials Chemistry,Metals and Alloys,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics

Reference35 articles.

1. Drilling and blasting of rocks [M];JIMENO,1995

2. Evaluation of the part of blasting energy used for rock mass fragmentation [J];HAMDI;Fragblast: The International Journal for Blasting and Fragmentation,2001

3. Measurement of the fragmentation efficiency of rock mass blasting and its mining applications [J];ALER;International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts,1996

4. Prediction of rock fragmentation due to blasting in Sarcheshmeh copper mine using artificial neural networks [J];MONJEZI;Geotechnical and Geological Engineering,2010

5. Mean particle size prediction in rock blast fragmentation using neural networks [J];KULATILAKE;Engineering Geology,2010

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