메뉴 건너뛰기




Volumn 22, Issue 4, 2012, Pages 459-463

Sizing of rock fragmentation modeling due to bench blasting using adaptive neuro-fuzzy inference system and radial basis function

Author keywords

ANFIS; Bench blasting; Open pit mine; RBF; Sizing

Indexed keywords

ANFIS; BENCH BLASTING; OPEN PIT MINES; RBF; SIZING;

EID: 84865274084     PISSN: 20952686     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmst.2012.06.001     Document Type: Article
Times cited : (14)

References (23)
  • 1
    • 0035360493 scopus 로고    scopus 로고
    • Modeling burden size and strata dip effects on the surface blasting process
    • A. Mortazavi, and P.D. Katsabanis Modeling burden size and strata dip effects on the surface blasting process Int J Rock Mech Min Sci 38 4 2001 481 498
    • (2001) Int J Rock Mech Min Sci , vol.38 , Issue.4 , pp. 481-498
    • Mortazavi, A.1    Katsabanis, P.D.2
  • 3
    • 33644623526 scopus 로고    scopus 로고
    • Fragmentation assessment and design of blast pattern at Goltas Limestone Quarry, Turkey
    • H.T. Ozkahraman Fragmentation assessment and design of blast pattern at Goltas Limestone Quarry, Turkey Int J Rock Mech Min Sci 43 4 2005 628 633
    • (2005) Int J Rock Mech Min Sci , vol.43 , Issue.4 , pp. 628-633
    • Ozkahraman, H.T.1
  • 4
    • 0009938597 scopus 로고    scopus 로고
    • Docking algorithm based on fuzzy set theory
    • T.E. Exner, and J. Brickmann Docking algorithm based on fuzzy set theory J Mol Model 3 1997 321 324
    • (1997) J Mol Model , vol.3 , pp. 321-324
    • Exner, T.E.1    Brickmann, J.2
  • 6
    • 0026925677 scopus 로고
    • Self-learning fuzzy controller based on temporal back-propagation
    • J.S.R. Jang Self-learning fuzzy controller based on temporal back-propagation IEEE Trans Neural Net 3 1992 714 723
    • (1992) IEEE Trans Neural Net , vol.3 , pp. 714-723
    • Jang, J.S.R.1
  • 7
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference systems
    • J.S.R. Jang ANFIS: adaptive-network-based fuzzy inference systems IEEE Trans Sys Man Cyber 23 1993 665 685
    • (1993) IEEE Trans Sys Man Cyber , vol.23 , pp. 665-685
    • Jang, J.S.R.1
  • 9
    • 34247623520 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system (ANFIS): A new approach to predictive modeling in QSAR applications: A study of neuro-fuzzy modeling of PCP-based NMDA receptor antagonists
    • E. Buyukbingol, A. Sisman, M. Akyildiz, F.N. Alparslan, and A. Adejare Adaptive neuro-fuzzy inference system (ANFIS): a new approach to predictive modeling in QSAR applications: a study of neuro-fuzzy modeling of PCP-based NMDA receptor antagonists Bioorg Med Chem 15 2007 4265 4282
    • (2007) Bioorg Med Chem , vol.15 , pp. 4265-4282
    • Buyukbingol, E.1    Sisman, A.2    Akyildiz, M.3    Alparslan, F.N.4    Adejare, A.5
  • 10
    • 77955719161 scopus 로고    scopus 로고
    • A QSAR study for modeling of 8-azaadenine analogues proposed as A1 adenosine receptor antagonists using genetic algorithms coupling adaptive neuro-fuzzy inference system (ANFIS)
    • S. Afiuni-Zadeh, and G. Azimi A QSAR study for modeling of 8-azaadenine analogues proposed as A1 adenosine receptor antagonists using genetic algorithms coupling adaptive neuro-fuzzy inference system (ANFIS) Anal Sci 26 2010 897 902
    • (2010) Anal Sci , vol.26 , pp. 897-902
    • Afiuni-Zadeh, S.1    Azimi, G.2
  • 12
  • 13
    • 80052200951 scopus 로고    scopus 로고
    • Fuzzy inference systems-based approaches in geotechnical engineering - A review
    • A.C. Adoko, and L. Wu Fuzzy inference systems-based approaches in geotechnical engineering - a review Elec J Geotech Eng 16 2011 1543 1558
    • (2011) Elec J Geotech Eng , vol.16 , pp. 1543-1558
    • Adoko, A.C.1    Wu, L.2
  • 14
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • H. Takagi, and M. Sugeno Fuzzy identification of systems and its application to modeling and control IEEE Trans Sys Man Cyber 15 1985 116 132
    • (1985) IEEE Trans Sys Man Cyber , vol.15 , pp. 116-132
    • Takagi, H.1    Sugeno, M.2
  • 17
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • J.S.R. Jang ANFIS: adaptive-network-based fuzzy inference system IEEE Trans Sys Man Cyber 23 1993 665 685
    • (1993) IEEE Trans Sys Man Cyber , vol.23 , pp. 665-685
    • Jang, J.S.R.1
  • 19
    • 21844438513 scopus 로고    scopus 로고
    • An adaptive RBF network optimized using a genetic algorithm applied to rainfall forecasting
    • C. Jareanpon, W. Pensuwon, R.J. Frank, and N. Davey An adaptive RBF network optimized using a genetic algorithm applied to rainfall forecasting Proc IEEE Int Symp Comm Inf Tech 2 2004 1005 1010
    • (2004) Proc IEEE Int Symp Comm Inf Tech , vol.2 , pp. 1005-1010
    • Jareanpon, C.1    Pensuwon, W.2    Frank, R.J.3    Davey, N.4
  • 20
    • 68149182282 scopus 로고    scopus 로고
    • Comments on the definition of the Q2 parameter for QSAR validation
    • V. Consonni, D. Ballabio, and R. Todeschini Comments on the definition of the Q2 parameter for QSAR validation J Chem Inf Model 49 2009 1669 1678
    • (2009) J Chem Inf Model , vol.49 , pp. 1669-1678
    • Consonni, V.1    Ballabio, D.2    Todeschini, R.3
  • 21
    • 0022983324 scopus 로고
    • The estimation of fragmentation in blast muckpiles by means of standard photographs
    • H.V. Aswegen, and C.V.B. Cunningham The estimation of fragmentation in blast muckpiles by means of standard photographs J S Afr Inst Min Metall 86 12 1986 469 474
    • (1986) J S Afr Inst Min Metall , vol.86 , Issue.12 , pp. 469-474
    • Aswegen, H.V.1    Cunningham, C.V.B.2
  • 22
    • 0141460668 scopus 로고    scopus 로고
    • A blind comparison between results of four image analysis systems using a photo-library of piles of sieved fragments
    • J.P. Latham, J. Kemeny, N. Maerz, M. Noy, J. Schleifer, and S. Tose A blind comparison between results of four image analysis systems using a photo-library of piles of sieved fragments Fragblast 7 2003 105 132
    • (2003) Fragblast , vol.7 , pp. 105-132
    • Latham, J.P.1    Kemeny, J.2    Maerz, N.3    Noy, M.4    Schleifer, J.5    Tose, S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.