Prediction of backbreak in open-pit blasting operations using the machine learning method

Rock Mechanics and Rock Engineering

Volumn 46, Issue 2, 2013, Pages 389-396

  Khandelwal, Manoj ^a   Monjezi, M ^b  

^a MAHARANA PRATAP UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (India)

^b TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Backbreak; Blasting; MVRA; Soungun iron mine; Support vector machine

Indexed keywords

BACKBREAK; COEFFICIENT OF DETERMINATION; EFFECTIVE PARAMETERS; MACHINE LEARNING METHODS; MEAN ABSOLUTE ERROR; MULTIVARIATE REGRESSION ANALYSIS; MVRA; PERFORMANCE MEASURE;

ARTIFICIAL INTELLIGENCE; BLASTING; IRON MINES; MACHINERY; PILE FOUNDATIONS; REGRESSION ANALYSIS;

SUPPORT VECTOR MACHINES;

ARTIFICIAL INTELLIGENCE; BLASTING; ERROR ANALYSIS; MACHINERY; NUMERICAL MODEL; OPEN PIT MINE; OPERATIONS TECHNOLOGY; PREDICTION; ROCK PROPERTY;

EID: 84879413852     PISSN: 07232632     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00603-012-0269-3     Document Type: Article

References (23)

1. Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines. Cambridge University Press, Cambridge
2. Feng X-T, Zhao H, Li S (2004) Modeling non-linear displacement time series of geo-materials using evolutionary support vector machines. Int J Rock Mech Min Sci 41(7):1087-1107
3. Gate WC, Ortiz BLT, Florez RM (2005) Analysis of rockfall and blasting backbreak problems. In: Proceedings of the American rock mechanics conference, Paper ARMA/USRMS 05-671, vol 5, p 671-680
4. Jenkins SS (1981) Adjusting blast design for best results. Pit and quarry. Balkema, Rotterdam
5. Jimeno CL, Jimeno EL, Carcedo FJA (1995) Drilling and blasting of rocks. Balkema, Rotterdam
6. Khandelwal M (2010) Evaluation and prediction of blast induced ground vibration using support vector machine. Int J Rock Mech Min Sci 47(3):509-516
7. Khandelwal M (2011) Blast-induced ground vibration prediction using support vector machine. Eng Comput 27(3):193-200. doi: 10.1007/s00366-010-0190-x
8. Khandelwal M, Kankar PK (2011) Prediction of blast-induced air overpressure using support vector machine. Arab J Geosci 4(3-4):427-433. doi: 10.1007/s12517-009-0092-7
9. Khandelwal M, Singh TN (2006) Prediction of blast induced ground vibrations and frequency in opencast mine: a neural network approach. J Sound Vib 289(4-5):711-725
10. Khandelwal M, Singh TN (2007) Evaluation of blast-induced ground vibration predictors. Soil Dyn Earthq Eng 27(2):116-125
11. Khandelwal M, Singh TN (2009) Prediction of blast-induced ground vibration using artificial neural network. Int J Rock Mech Min Sci 46(7):1214-1222
12. Konya CJ (2003) Rock blasting and overbreak control, 2nd edn. National Highway Institute, USA (FHWA-HI-92-001)
13. Konya CJ, Walter EJ (1991) Rock blasting and overbreak control, 1st edn. National Highway Institute, USA (FHWA-HI-92-001)
14. Liu KY, Qiao CS, Tian SF (2004) Design of tunnel shotcrete-bolting support based on a support vector machine approach. Int J Rock Mech Min Sci 41(3):510-511
15. Monjezi M, Dehghani H (2008) Evaluation of effect of blasting pattern parameters on back break using neural networks. Int J Rock Mech Min Sci 45:1446-1453
16. Monjezi M, Rezaei M, Yazdian A (2010a) Prediction of backbreak in open-pit blasting using fuzzy set theory. Expert Syst Appl 37(3):2637-2643
17. Monjezi M, Bahrami A, Yazdian Varjani A (2010b) Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks. Int J Rock Mech Min Sci 47(3):476-480
18. Muller KR, Smola JA, Scholkopf B (1997) Prediction time series with support vector machines. In: Proceedings of the 7th international conference on artificial neural networks (ICANN), Lausanne, Switzerland, October 1997, pp 999-1004
19. Platt JC (1998) Sequential minimal optimization: a fast algorithm for training support vector machines. Technical Report, MSR-TR-98-14
20. Schmidt M (1996) Identifying speaker with support vector networks. In: Proceedings of the 28th symposium on the interface (Interface'96), Sydney, Australia, July 1996
21. Scholkopf B, Burges C, Vapnik V (1995) Extracting support data for a given task. In: Proceedings of the international conference on knowledge discovery and data mining, Menlo Park, CA, USA, August 1995, AAAI Press
22. Vapnik VN (1998) Statistical learning theory. Wiley, New York
23. Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco