메뉴 건너뛰기




Volumn 5, Issue 4, 2013, Pages 318-324

A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak

Author keywords

Artificial neural network; Back propagation; Backbreak; Radial basis function; Rock fragmentation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BLASTING; COMPARATIVE STUDY; FRAGMENTATION; LIMESTONE; MINE; MINING; REGRESSION ANALYSIS; ROCK MECHANICS;

EID: 84925288379     PISSN: 16747755     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jrmge.2013.05.007     Document Type: Article
Times cited : (128)

References (31)
  • 1
    • 75149182209 scopus 로고    scopus 로고
    • Predicting of blasting vibrations in Sarcheshmeh copper mine by neural network
    • Bakhshandeh H., Mozdianfard M.R., Siamaki A. Predicting of blasting vibrations in Sarcheshmeh copper mine by neural network. Safety Science 2010, 48(3):319-325.
    • (2010) Safety Science , vol.48 , Issue.3 , pp. 319-325
    • Bakhshandeh, H.1    Mozdianfard, M.R.2    Siamaki, A.3
  • 7
    • 14844322351 scopus 로고    scopus 로고
    • Artificial neural networks applied to landslide susceptibility assessment
    • Ermini L., Catani F., Casagli N. Artificial neural networks applied to landslide susceptibility assessment. Geomorphology 2005, 66(1-4):327-343.
    • (2005) Geomorphology , vol.66 , Issue.1-4 , pp. 327-343
    • Ermini, L.1    Catani, F.2    Casagli, N.3
  • 8
    • 70449528030 scopus 로고    scopus 로고
    • Analysis of rockfall and blasting backbreak problems
    • American Rock Mechanics Association, Alexandria, VA
    • Gates W., Ortiz L.T., Florez RM Analysis of rockfall and blasting backbreak problems. Proceedings of the 40th U.S. symposium on rock mechanics 2005, 671-680. American Rock Mechanics Association, Alexandria, VA.
    • (2005) Proceedings of the 40th U.S. symposium on rock mechanics , pp. 671-680
    • Gates, W.1    Ortiz, L.T.2    Florez RM3
  • 11
    • 23144432076 scopus 로고    scopus 로고
    • Prediction of blast induced air overpressure in opencast mine
    • Khandelwal M., Singh T.N. Prediction of blast induced air overpressure in opencast mine. Noise Vibration Worldwide 2005, 36(2):7-16.
    • (2005) Noise Vibration Worldwide , vol.36 , Issue.2 , pp. 7-16
    • Khandelwal, M.1    Singh, T.N.2
  • 12
    • 33644521720 scopus 로고    scopus 로고
    • Prediction of blast induced ground vibrations and frequency in opencast mine: a neural network approach
    • Khandelwal M., Singh T.N. Prediction of blast induced ground vibrations and frequency in opencast mine: a neural network approach. Journal of Sound and Vibration 2006, 289(4):711-725.
    • (2006) Journal of Sound and Vibration , vol.289 , Issue.4 , pp. 711-725
    • Khandelwal, M.1    Singh, T.N.2
  • 15
    • 77949269496 scopus 로고    scopus 로고
    • Evaluation and prediction of blast induced ground vibration using support vector machine
    • Khandelwal M. Evaluation and prediction of blast induced ground vibration using support vector machine. International Journal of Rock Mechanics and Mining Sciences 2010, 47(3):509-516.
    • (2010) International Journal of Rock Mechanics and Mining Sciences , vol.47 , Issue.3 , pp. 509-516
    • Khandelwal, M.1
  • 16
    • 84155180937 scopus 로고    scopus 로고
    • Application of an expert system for the assessment of blast vibration
    • Khandelwal M. Application of an expert system for the assessment of blast vibration. Geotechnical and Geological Engineering 2012, 30(1):205-217.
    • (2012) Geotechnical and Geological Engineering , vol.30 , Issue.1 , pp. 205-217
    • Khandelwal, M.1
  • 17
    • 77955176007 scopus 로고    scopus 로고
    • Mean particle size prediction in rock blast fragmentation using neural networks
    • Kulatilake P.H.S.W, Wu Q., Hudaverdi T., Kuzu C. Mean particle size prediction in rock blast fragmentation using neural networks. Engineering Geology 2010, 114(3):298-311.
    • (2010) Engineering Geology , vol.114 , Issue.3 , pp. 298-311
    • Kulatilake, P.H.S.W.1    Wu, Q.2    Hudaverdi, T.3    Kuzu, C.4
  • 18
    • 0347793634 scopus 로고    scopus 로고
    • US Department of Transportation, Federal Highway Administration, Washington, DC
    • Konya C.J. Rock blasting and overbreak control 2003, US Department of Transportation, Federal Highway Administration, Washington, DC. 2nd ed.
    • (2003) Rock blasting and overbreak control
    • Konya, C.J.1
  • 19
    • 0347793634 scopus 로고    scopus 로고
    • US Department of Transportation, Federal Highway Administration, Washington, DC
    • Konya C.J., Walter E.J. Rock blasting and overbreak control 1991, US Department of Transportation, Federal Highway Administration, Washington, DC. 1st ed.
    • (1991) Rock blasting and overbreak control
    • Konya, C.J.1    Walter, E.J.2
  • 20
    • 0032997179 scopus 로고    scopus 로고
    • Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness
    • Maulenkamp F., Grima M.A. Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness. International Journal of Rock Mechanics and Mining Sciences 1999, 36(1):29-39.
    • (1999) International Journal of Rock Mechanics and Mining Sciences , vol.36 , Issue.1 , pp. 29-39
    • Maulenkamp, F.1    Grima, M.A.2
  • 21
    • 51249194645 scopus 로고
    • A logical calculus of ideas immanent in nervous activity
    • McCulloch W.S., Pitts W.H. A logical calculus of ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 1943, 5(4):115-133.
    • (1943) Bulletin of Mathematical Biophysics , vol.5 , Issue.4 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.H.2
  • 22
    • 13944267617 scopus 로고    scopus 로고
    • Influence of explosive energy on the strength of the rock fragments and SAG mill throughput
    • Michaux S., Djordjevic N. Influence of explosive energy on the strength of the rock fragments and SAG mill throughput. Miner Engineering 2005, 18(4):439-448.
    • (2005) Miner Engineering , vol.18 , Issue.4 , pp. 439-448
    • Michaux, S.1    Djordjevic, N.2
  • 23
    • 77953871856 scopus 로고    scopus 로고
    • Prediction of rock fragmentation due to blasting in Sarcheshmeh copper mine using artificial neural networks
    • Monjezi M., Amiri H., Farrokhi A., Goshtasbi K. Prediction of rock fragmentation due to blasting in Sarcheshmeh copper mine using artificial neural networks. Geotechnique and Geology Engineering 2010, 28(4):423-430.
    • (2010) Geotechnique and Geology Engineering , vol.28 , Issue.4 , pp. 423-430
    • Monjezi, M.1    Amiri, H.2    Farrokhi, A.3    Goshtasbi, K.4
  • 24
    • 55749100108 scopus 로고    scopus 로고
    • Evaluation of effect of blasting pattern parameters on backbreak using neural networks
    • Monjezi M., Dehghani H. Evaluation of effect of blasting pattern parameters on backbreak using neural networks. International Journal of Rock Mechanics and Mining Sciences 2008, 45(8):1446-1453.
    • (2008) International Journal of Rock Mechanics and Mining Sciences , vol.45 , Issue.8 , pp. 1446-1453
    • Monjezi, M.1    Dehghani, H.2
  • 28
    • 0031246162 scopus 로고    scopus 로고
    • A hierarchical analysis for rock engineering using artificial neural networks
    • Yang Y., Zhang Q. A hierarchical analysis for rock engineering using artificial neural networks. Rock Mechanic and Rock Engineering 1997, 30(4):207-222.
    • (1997) Rock Mechanic and Rock Engineering , vol.30 , Issue.4 , pp. 207-222
    • Yang, Y.1    Zhang, Q.2
  • 29
    • 61849112830 scopus 로고    scopus 로고
    • Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models
    • Yilmaz I., Yuksek G. Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models. International Journal of Rock Mechanics and Mining Sciences 2009, 46(4):803-810.
    • (2009) International Journal of Rock Mechanics and Mining Sciences , vol.46 , Issue.4 , pp. 803-810
    • Yilmaz, I.1    Yuksek, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.