메뉴 건너뛰기




Volumn 32, Issue 1, 2016, Pages 123-133

Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation

Author keywords

Backbreak; Blasting; Genetic programing; Non linear multiple regression

Indexed keywords

ARTIFICIAL INTELLIGENCE; COPPER MINES; ENVIRONMENTAL IMPACT; FORECASTING; MACHINERY; MEAN SQUARE ERROR; REGRESSION ANALYSIS;

EID: 84952985636     PISSN: 01770667     EISSN: 14355663     Source Type: Journal    
DOI: 10.1007/s00366-015-0404-3     Document Type: Article
Times cited : (107)

References (42)
  • 2
    • 85028224122 scopus 로고    scopus 로고
    • Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm
    • Hajihassani M, Jahed Armaghani D, Marto A, Tonnizam Mohamad E (2014) Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm. Bull Eng Geol Environ. doi:10.1007/s10064-014-0657-x
    • (2014) Bull Eng Geol Environ
    • Hajihassani, M.1    Jahed Armaghani, D.2    Marto, A.3    Tonnizam Mohamad, E.4
  • 4
    • 84879413852 scopus 로고    scopus 로고
    • Prediction of backbreak in open-pit blasting operations using the machine learning method
    • Khandelwal M, Monjezi M (2013) Prediction of backbreak in open-pit blasting operations using the machine learning method. Rock Mech Rock Eng 46(2):389–396
    • (2013) Rock Mech Rock Eng , vol.46 , Issue.2 , pp. 389-396
    • Khandelwal, M.1    Monjezi, M.2
  • 5
    • 84911806637 scopus 로고    scopus 로고
    • Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
    • Jahed Armaghani D, Hajihassani M, Mohamad ET, Marto A, Noorani SA (2014) Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arab J Geosci. doi:10.1007/s12517-013-1174-0
    • (2014) Arab J Geosci
    • Jahed Armaghani, D.1    Hajihassani, M.2    Mohamad, E.T.3    Marto, A.4    Noorani, S.A.5
  • 6
    • 85027955140 scopus 로고    scopus 로고
    • Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach
    • Monjezi M, Khoshalan HA, Varjani AY (2012) Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach. Arab J Geosci 5(3):441–448
    • (2012) Arab J Geosci , vol.5 , Issue.3 , pp. 441-448
    • Monjezi, M.1    Khoshalan, H.A.2    Varjani, A.Y.3
  • 7
    • 84878562497 scopus 로고    scopus 로고
    • Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network
    • Monjezi M, Hasanipanah M, Khandelwal M (2013) Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network. Neural Comput Appl 22:1637–1643
    • (2013) Neural Comput Appl , vol.22 , pp. 1637-1643
    • Monjezi, M.1    Hasanipanah, M.2    Khandelwal, M.3
  • 9
    • 84893973238 scopus 로고    scopus 로고
    • Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization
    • Hajihassani M, Jahed Armaghani D, Sohaei H, Tonnizam Mohamad E, Marto A (2014) Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization. Appl Acoust 80:57–67
    • (2014) Appl Acoust , vol.80 , pp. 57-67
    • Hajihassani, M.1    Jahed Armaghani, D.2    Sohaei, H.3    Tonnizam Mohamad, E.4    Marto, A.5
  • 11
    • 84952976938 scopus 로고    scopus 로고
    • Application of Controlled Blasting (Pre Splitting) in Sarcheshmeh copper mine. In: 8th international symposia on Rock Fragmentation by Blasting
    • Firozadj A, Ebrahimi MA, mansouri H (2006) Application of Controlled Blasting (Pre Splitting) in Sarcheshmeh copper mine. In: 8th international symposia on Rock Fragmentation by Blasting, Chile
    • (2006) Chile
    • Firozadj, A.1    Ebrahimi, M.A.2    mansouri, H.3
  • 14
    • 70449528486 scopus 로고    scopus 로고
    • Prediction of backbreak in open-pit blasting using fuzzy set theory
    • Monjezi M, Rezaei M, Yazdian A (2010) Prediction of backbreak in open-pit blasting using fuzzy set theory. Expert Syst Appl 37:2637–2643
    • (2010) Expert Syst Appl , vol.37 , pp. 2637-2643
    • Monjezi, M.1    Rezaei, M.2    Yazdian, A.3
  • 15
    • 84884590729 scopus 로고    scopus 로고
    • Backbreak prediction in the Chadormalu iron mine using artificial neural network
    • Monjezi M, Ahmadi Z, Yazdian Varjani A, Khandelwal M (2013) Backbreak prediction in the Chadormalu iron mine using artificial neural network. Neural Comput Appl 23:1101–1107
    • (2013) Neural Comput Appl , vol.23 , pp. 1101-1107
    • Monjezi, M.1    Ahmadi, Z.2    Yazdian Varjani, A.3    Khandelwal, M.4
  • 16
    • 84920254940 scopus 로고    scopus 로고
    • Multiple regression, ANN and ANFIS models for prediction of backbreak in the open pit blasting
    • Esmaeili M, Osanloo M, Rashidinejad F, Aghajani Bazzazi A, Taji M (2012) Multiple regression, ANN and ANFIS models for prediction of backbreak in the open pit blasting. Eng Comput. doi:10.1007/s00366-012-0298-2
    • (2012) Eng Comput
    • Esmaeili, M.1    Osanloo, M.2    Rashidinejad, F.3    Aghajani Bazzazi, A.4    Taji, M.5
  • 17
    • 84879204666 scopus 로고    scopus 로고
    • An RES-based model for risk assessment and prediction of backbreak in bench blasting
    • Faramarzi F, Ebrahimi Farsangi MA, Mansouri H (2013) An RES-based model for risk assessment and prediction of backbreak in bench blasting. Rock Mech Rock Eng 46:877–887
    • (2013) Rock Mech Rock Eng , vol.46 , pp. 877-887
    • Faramarzi, F.1    Ebrahimi Farsangi, M.A.2    Mansouri, H.3
  • 18
    • 84896844254 scopus 로고    scopus 로고
    • Stochastic modeling approach for the evaluation of backbreak due to blasting operations in open pit mines
    • Sari M, Ghasemi E, Ataei M (2014) Stochastic modeling approach for the evaluation of backbreak due to blasting operations in open pit mines. Rock Mech Rock Eng 47:771–783
    • (2014) Rock Mech Rock Eng , vol.47 , pp. 771-783
    • Sari, M.1    Ghasemi, E.2    Ataei, M.3
  • 19
    • 77956648398 scopus 로고    scopus 로고
    • Genetic programming approach for estimating the deformation modulus of rock mass using sensitivity analysis by neural network
    • Beiki M, Bashari A, Majdi A (2010) Genetic programming approach for estimating the deformation modulus of rock mass using sensitivity analysis by neural network. Int J Rock Mech Min Sci 47:1091–1103
    • (2010) Int J Rock Mech Min Sci , vol.47 , pp. 1091-1103
    • Beiki, M.1    Bashari, A.2    Majdi, A.3
  • 20
    • 44949162150 scopus 로고    scopus 로고
    • Prediction of compressive and tensile strength of limestone via genetic programming
    • Baykasoglu A, Gullu H, Canakci H, Ozbakır L (2008) Prediction of compressive and tensile strength of limestone via genetic programming. Expert Syst Appl 35:111–123
    • (2008) Expert Syst Appl , vol.35 , pp. 111-123
    • Baykasoglu, A.1    Gullu, H.2    Canakci, H.3    Ozbakır, L.4
  • 21
    • 78751628837 scopus 로고    scopus 로고
    • Evaluating the strength of intact rocks through genetic programming
    • Asadi M, Eftekhari M, Bagheripour MH (2011) Evaluating the strength of intact rocks through genetic programming. Appl Soft Comput 11:1932–1937
    • (2011) Appl Soft Comput , vol.11 , pp. 1932-1937
    • Asadi, M.1    Eftekhari, M.2    Bagheripour, M.H.3
  • 23
    • 84925288379 scopus 로고    scopus 로고
    • A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak
    • Sayadi A, Monjezi M, Talebi N, Khandelwal M (2013) A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak. J Rock Mech Geotech Eng 5:318–324
    • (2013) J Rock Mech Geotech Eng , vol.5 , pp. 318-324
    • Sayadi, A.1    Monjezi, M.2    Talebi, N.3    Khandelwal, M.4
  • 24
    • 84902436118 scopus 로고    scopus 로고
    • Artificial neural network as a tool for backbreak prediction
    • Monjezi M, Rizi SH, Majd VJ, Khandelwal M (2014) Artificial neural network as a tool for backbreak prediction. Geotech Geol Eng 32(1):21–30
    • (2014) Geotech Geol Eng , vol.32 , Issue.1 , pp. 21-30
    • Monjezi, M.1    Rizi, S.H.2    Majd, V.J.3    Khandelwal, M.4
  • 25
    • 84952986911 scopus 로고    scopus 로고
    • Koza JR (2008) , The home page of John R. Koza at Genetic Programming Inc
    • Koza JR (2008) www.genetic-programming.com, The home page of John R. Koza at Genetic Programming Inc
  • 26
    • 39849091610 scopus 로고    scopus 로고
    • A genetic programming approach to suspended sediment modeling
    • Aytek A, Kisi O (2008) A genetic programming approach to suspended sediment modeling. J Hydrol 351:288–298
    • (2008) J Hydrol , vol.351 , pp. 288-298
    • Aytek, A.1    Kisi, O.2
  • 27
    • 0035743248 scopus 로고    scopus 로고
    • Genetic programming: principles and applications
    • Sette S, Boullart L (2001) Genetic programming: principles and applications. Eng Appl Artif Intell 14:727–736
    • (2001) Eng Appl Artif Intell , vol.14 , pp. 727-736
    • Sette, S.1    Boullart, L.2
  • 29
    • 84859649585 scopus 로고    scopus 로고
    • Development of an empirical model for predicting the effects of controllable blasting parameters on flyrock distance in surface mines
    • Ghasemi E, Sari M, Ataei M (2012) Development of an empirical model for predicting the effects of controllable blasting parameters on flyrock distance in surface mines. Int J Rock Mech Min Sci 52:163–170
    • (2012) Int J Rock Mech Min Sci , vol.52 , pp. 163-170
    • Ghasemi, E.1    Sari, M.2    Ataei, M.3
  • 30
    • 33845189558 scopus 로고    scopus 로고
    • Moxon NT (1988) The development of low energy ammonium nitrate based explosives
    • Melbourne, Australia
    • Wilson JM, Moxon NT (1988) The development of low energy ammonium nitrate based explosives. In: Proceedings of the Australasian Institute of Mining and Metallurgy, Melbourne, Australia, pp 27–32
    • Proceedings of the Australasian Institute of Mining and Metallurgy , pp. 27-32
    • Wilson, J.M.1
  • 32
    • 55749100108 scopus 로고    scopus 로고
    • Evaluation of effect of blasting pattern parameters on backbreak using neural networks
    • Monjezi M, Dehghani H (2008) Evaluation of effect of blasting pattern parameters on backbreak using neural networks. Int J Rock Mech Min Sci 45:1446–1453
    • (2008) Int J Rock Mech Min Sci , vol.45 , pp. 1446-1453
    • Monjezi, M.1    Dehghani, H.2
  • 34
    • 0030121244 scopus 로고    scopus 로고
    • Advances in feed-forward neural networks: demystifying knowledge acquiring black boxes
    • Looney CG (1996) Advances in feed-forward neural networks: demystifying knowledge acquiring black boxes. IEEE Trans Knowl Data Eng 8(2):211–226
    • (1996) IEEE Trans Knowl Data Eng , vol.8 , Issue.2 , pp. 211-226
    • Looney, C.G.1
  • 36
    • 84872305578 scopus 로고    scopus 로고
    • Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks
    • Ceryan N, Okkan U, Kesimal A (2012) Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks. Environ Earth Sci 68:807–819
    • (2012) Environ Earth Sci , vol.68 , pp. 807-819
    • Ceryan, N.1    Okkan, U.2    Kesimal, A.3
  • 37
    • 65749099794 scopus 로고    scopus 로고
    • Application of two non-linear prediction tools to the estimation of tunnel boring machine performance
    • Yagiz S, Gokceoglu C, Sezer E, Iplikci S (2009) Application of two non-linear prediction tools to the estimation of tunnel boring machine performance. Eng Appl Artif Intel 22(4):808–814
    • (2009) Eng Appl Artif Intel , vol.22 , Issue.4 , pp. 808-814
    • Yagiz, S.1    Gokceoglu, C.2    Sezer, E.3    Iplikci, S.4
  • 38
    • 84944513380 scopus 로고    scopus 로고
    • An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite
    • Jahed Armaghani D, Tonnizam Mohamad E, Momeni E, Narayanasamy MS, Mohd Amin MF (2014) An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite. Bull Eng Geol Environ. doi:10.1007/s10064-014-0687-4
    • (2014) Bull Eng Geol Environ
    • Jahed Armaghani, D.1    Tonnizam Mohamad, E.2    Momeni, E.3    Narayanasamy, M.S.4    Mohd Amin, M.F.5
  • 39
    • 70449523078 scopus 로고    scopus 로고
    • Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness
    • Yagiz S, Gokceoglu C (2010) Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness. Expert Sys Appl 37(3):2265–2272
    • (2010) Expert Sys Appl , vol.37 , Issue.3 , pp. 2265-2272
    • Yagiz, S.1    Gokceoglu, C.2
  • 41
    • 0031246162 scopus 로고    scopus 로고
    • A hierarchical analysis for rock engineering using artificial neural networks
    • Yang Y, Zang O (1997) A hierarchical analysis for rock engineering using artificial neural networks. Rock Mech Rock Eng 30:207–222
    • (1997) Rock Mech Rock Eng , vol.30 , pp. 207-222
    • Yang, Y.1    Zang, O.2
  • 42
    • 0003435315 scopus 로고
    • Models for assessing the blasting performance of explosives. Ph.D
    • University of Queensland, Brisbane
    • Sarma KS (1994) Models for assessing the blasting performance of explosives. Ph.D. thesis. University of Queensland, Brisbane
    • (1994) Thesis
    • Sarma, K.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.